Language and voice support for Azure Speech

The following tables summarize language support for speech to text, text to speech, pronunciation assessment, speech translation, and more features of Azure Speech. Use them to check whether your target language and locale are available for each Azure Speech capability.

You can also see the list of locales and voices supported for each specific region or endpoint:

• Speech SDK
• Speech-to-text REST API
• Speech-to-text REST API for short audio
• Text-to-speech REST API

Supported languages

Language support varies by functionality in Azure Speech.

Note

See the speech containers and embedded speech documentation for their supported languages.

Choose a feature:

Speech to text

The table in this section summarizes the locales supported for real-time transcription, fast transcription, and batch transcription.

Locale (BCP-47)	Language	Fast transcription support
af-ZA	Afrikaans (South Africa)	✅
am-ET	Amharic (Ethiopia)	✅
ar-AE	Arabic (United Arab Emirates)	✅
ar-BH	Arabic (Bahrain)	✅
ar-DZ	Arabic (Algeria)
ar-EG	Arabic (Egypt)	✅
ar-IL	Arabic (Israel)	✅
ar-IQ	Arabic (Iraq)	✅
ar-JO	Arabic (Jordan)	✅
ar-KW	Arabic (Kuwait)	✅
ar-LB	Arabic (Lebanon)	✅
ar-LY	Arabic (Libya)	✅
ar-MA	Arabic (Morocco)
ar-OM	Arabic (Oman)	✅
ar-PS	Arabic (Palestinian Authority)	✅
ar-QA	Arabic (Qatar)	✅
ar-SA	Arabic (Saudi Arabia)	✅
ar-SY	Arabic (Syria)	✅
ar-TN	Arabic (Tunisia)
ar-YE	Arabic (Yemen)
as-IN	Assamese (India)
az-AZ	Azerbaijani (Latin, Azerbaijan)	✅
bg-BG	Bulgarian (Bulgaria)	✅
bn-IN	Bengali (India)	✅
bs-BA	Bosnian (Bosnia and Herzegovina)
ca-ES	Catalan	✅
cs-CZ	Czech (Czechia)	✅
cy-GB	Welsh (United Kingdom)	✅
da-DK	Danish (Denmark)	✅
de-AT	German (Austria)	✅
de-CH	German (Switzerland)	✅
de-DE	German (Germany)	✅
el-GR	Greek (Greece)
en-AU	English (Australia)	✅
en-CA	English (Canada)	✅
en-GB	English (United Kingdom)	✅
en-GH	English (Ghana)	✅
en-HK	English (Hong Kong SAR)	✅
en-IE	English (Ireland)	✅
en-IN	English (India)	✅
en-KE	English (Kenya)	✅
en-NG	English (Nigeria)	✅
en-NZ	English (New Zealand)	✅
en-PH	English (Philippines)	✅
en-SG	English (Singapore)	✅
en-TZ	English (Tanzania)	✅
en-US	English (United States)	✅
en-ZA	English (South Africa)	✅
es-AR	Spanish (Argentina)	✅
es-BO	Spanish (Bolivia)	✅
es-CL	Spanish (Chile)	✅
es-CO	Spanish (Colombia)	✅
es-CR	Spanish (Costa Rica)	✅
es-CU	Spanish (Cuba)	✅
es-DO	Spanish (Dominican Republic)	✅
es-EC	Spanish (Ecuador)	✅
es-ES	Spanish (Spain)	✅
es-GQ	Spanish (Equatorial Guinea)	✅
es-GT	Spanish (Guatemala)	✅
es-HN	Spanish (Honduras)	✅
es-MX	Spanish (Mexico)	✅
es-NI	Spanish (Nicaragua)	✅
es-PA	Spanish (Panama)	✅
es-PE	Spanish (Peru)	✅
es-PR	Spanish (Puerto Rico)	✅
es-PY	Spanish (Paraguay)	✅
es-SV	Spanish (El Salvador)	✅
es-US	Spanish (United States)1	✅
es-UY	Spanish (Uruguay)	✅
es-VE	Spanish (Venezuela)	✅
et-EE	Estonian (Estonia)	✅
eu-ES	Basque	✅
fa-IR	Persian (Iran)	✅
fi-FI	Finnish (Finland)	✅
fil-PH	Filipino (Philippines)	✅
fr-BE	French (Belgium)
fr-CA	French (Canada)1
fr-CH	French (Switzerland)
fr-FR	French (France)	✅
ga-IE	Irish (Ireland)	✅
gl-ES	Galician	✅
gu-IN	Gujarati (India)
he-IL	Hebrew (Israel)	✅
hi-IN	Hindi (India)	✅
hr-HR	Croatian (Croatia)	✅
hu-HU	Hungarian (Hungary)	✅
hy-AM	Armenian (Armenia)	✅
id-ID	Indonesian (Indonesia)	✅
is-IS	Icelandic (Iceland)	✅
it-CH	Italian (Switzerland)
it-IT	Italian (Italy)	✅
ja-JP	Japanese (Japan)	✅
jv-ID	Javanese (Latin, Indonesia)	✅
ka-GE	Georgian (Georgia)	✅
kk-KZ	Kazakh (Kazakhstan)	✅
km-KH	Khmer (Cambodia)
kn-IN	Kannada (India)
ko-KR	Korean (Korea)	✅
lo-LA	Lao (Laos)	✅
lt-LT	Lithuanian (Lithuania)	✅
lv-LV	Latvian (Latvia)	✅
mk-MK	Macedonian (North Macedonia)	✅
ml-IN	Malayalam (India)	✅
mn-MN	Mongolian (Mongolia)	✅
mr-IN	Marathi (India)	✅
ms-MY	Malay (Malaysia)	✅
mt-MT	Maltese (Malta)	✅
my-MM	Burmese (Myanmar)	✅
nb-NO	Norwegian Bokmål (Norway)	✅
ne-NP	Nepali (Nepal)
nl-BE	Dutch (Belgium)
nl-NL	Dutch (Netherlands)	✅
or-IN	Odia (India)
pa-IN	Punjabi (India)
pl-PL	Polish (Poland)	✅
ps-AF	Pashto (Afghanistan)	✅
pt-BR	Portuguese (Brazil)	✅
pt-PT	Portuguese (Portugal)	✅
ro-RO	Romanian (Romania)	✅
ru-RU	Russian (Russia)	✅
si-LK	Sinhala (Sri Lanka)
sk-SK	Slovak (Slovakia)	✅
sl-SI	Slovenian (Slovenia)	✅
so-SO	Somali (Somalia)	✅
sq-AL	Albanian (Albania)	✅
sr-RS	Serbian (Cyrillic, Serbia)	✅
sv-SE	Swedish (Sweden)	✅
sw-KE	Kiswahili (Kenya)	✅
sw-TZ	Kiswahili (Tanzania)
ta-IN	Tamil (India)	✅
te-IN	Telugu (India)
th-TH	Thai (Thailand)	✅
tr-TR	Turkish (Türkiye)	✅
uk-UA	Ukrainian (Ukraine)	✅
ur-IN	Urdu (India)	✅
uz-UZ	Uzbek (Latin, Uzbekistan)	✅
vi-VN	Vietnamese (Vietnam)	✅
wuu-CN	Chinese (Wu, Simplified)
yue-CN	Chinese (Cantonese, Simplified)
zh-CN	Chinese (Mandarin, Simplified)	✅
zh-CN-shandong	Chinese (Jilu Mandarin, Simplified)
zh-CN-sichuan	Chinese (Southwestern Mandarin, Simplified)
zh-HK	Chinese (Cantonese, Traditional)	✅
zh-TW	Chinese (Taiwanese Mandarin, Traditional)
zu-ZA	isiZulu (South Africa)	✅

¹ The model is bilingual and also supports English.

Custom speech

To improve the accuracy of speech-to-text recognition, you can customize some languages and base models. Depending on the locale, you can upload audio with human-labeled transcripts, plain text, structured text, and pronunciation data. By default, all available base models support plain-text customization. For more information about customization, see What is custom speech?.

Locale (BCP-47)	Language	Custom speech support
af-ZA	Afrikaans (South Africa)	Plain text
am-ET	Amharic (Ethiopia)	Plain text
ar-AE	Arabic (United Arab Emirates)	Audio + human-labeled transcript, Plain text
ar-BH	Arabic (Bahrain)	Audio + human-labeled transcript, Plain text
ar-DZ	Arabic (Algeria)	Audio + human-labeled transcript, Plain text
ar-EG	Arabic (Egypt)	Audio + human-labeled transcript, Plain text, Structured text
ar-IL	Arabic (Israel)	Audio + human-labeled transcript, Plain text
ar-IQ	Arabic (Iraq)	Audio + human-labeled transcript, Plain text
ar-JO	Arabic (Jordan)	Audio + human-labeled transcript, Plain text
ar-KW	Arabic (Kuwait)	Audio + human-labeled transcript, Plain text
ar-LB	Arabic (Lebanon)	Audio + human-labeled transcript, Plain text
ar-LY	Arabic (Libya)	Audio + human-labeled transcript, Plain text
ar-MA	Arabic (Morocco)	Audio + human-labeled transcript, Plain text
ar-OM	Arabic (Oman)	Audio + human-labeled transcript, Plain text
ar-PS	Arabic (Palestinian Authority)	Audio + human-labeled transcript, Plain text
ar-QA	Arabic (Qatar)	Audio + human-labeled transcript, Plain text
ar-SA	Arabic (Saudi Arabia)	Audio + human-labeled transcript, Plain text, Structured text, Phrase list
ar-SY	Arabic (Syria)	Audio + human-labeled transcript, Plain text
ar-TN	Arabic (Tunisia)	Audio + human-labeled transcript, Plain text
ar-YE	Arabic (Yemen)	Audio + human-labeled transcript, Plain text
as-IN	Assamese (India)	Audio + human-labeled transcript
az-AZ	Azerbaijani (Latin, Azerbaijan)	Plain text
bg-BG	Bulgarian (Bulgaria)	Plain text
bn-IN	Bengali (India)	Plain text
bs-BA	Bosnian (Bosnia and Herzegovina)	Plain text
ca-ES	Catalan	Plain text, Pronunciation
cs-CZ	Czech (Czechia)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
cy-GB	Welsh (United Kingdom)	Plain text
da-DK	Danish (Denmark)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation
de-AT	German (Austria)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
de-CH	German (Switzerland)	Audio + human-labeled transcript, Plain text, Pronunciation, Phrase list
de-DE	German (Germany)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
el-GR	Greek (Greece)	Audio + human-labeled transcript, Plain text, Structured text
en-AU	English (Australia)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation, Phrase list
en-CA	English (Canada)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation, Phrase list
en-GB	English (United Kingdom)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation, Phrase list
en-GH	English (Ghana)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Pronunciation
en-HK	English (Hong Kong SAR)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation
en-IE	English (Ireland)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation, Phrase list
en-IN	English (India)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
en-KE	English (Kenya)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Pronunciation
en-NG	English (Nigeria)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation
en-NZ	English (New Zealand)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation
en-PH	English (Philippines)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation
en-SG	English (Singapore)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation
en-TZ	English (Tanzania)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Pronunciation
en-US	English (United States)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Output format, Pronunciation, Phrase list
en-ZA	English (South Africa)	Audio + human-labeled transcript, Audio, Plain text, Structured text, Pronunciation, Phrase list
es-AR	Spanish (Argentina)	Plain text, Structured text, Pronunciation
es-BO	Spanish (Bolivia)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-CL	Spanish (Chile)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-CO	Spanish (Colombia)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-CR	Spanish (Costa Rica)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-CU	Spanish (Cuba)	Plain text, Structured text, Pronunciation
es-DO	Spanish (Dominican Republic)	Plain text, Structured text, Pronunciation
es-EC	Spanish (Ecuador)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-ES	Spanish (Spain)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
es-GQ	Spanish (Equatorial Guinea)	Audio + human-labeled transcript, Plain text, Structured text
es-GT	Spanish (Guatemala)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-HN	Spanish (Honduras)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-MX	Spanish (Mexico)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
es-NI	Spanish (Nicaragua)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-PA	Spanish (Panama)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-PE	Spanish (Peru)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-PR	Spanish (Puerto Rico)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-PY	Spanish (Paraguay)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-SV	Spanish (El Salvador)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-US	Spanish (United States)	Plain text, Structured text, Pronunciation, Phrase list
es-UY	Spanish (Uruguay)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
es-VE	Spanish (Venezuela)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
et-EE	Estonian (Estonia)	Plain text, Pronunciation
eu-ES	Basque	Plain text
fa-IR	Persian (Iran)	Plain text
fi-FI	Finnish (Finland)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation
fil-PH	Filipino (Philippines)	Plain text, Pronunciation
fr-BE	French (Belgium)	Plain text
fr-CA	French (Canada)	Plain text, Structured text, Output format, Pronunciation, Phrase list
fr-CH	French (Switzerland)	Plain text, Pronunciation
fr-FR	French (France)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
ga-IE	Irish (Ireland)	Plain text, Pronunciation
gl-ES	Galician	Plain text
gu-IN	Gujarati (India)	Plain text
he-IL	Hebrew (Israel)	Audio + human-labeled transcript, Plain text
hi-IN	Hindi (India)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Phrase list
hr-HR	Croatian (Croatia)	Plain text, Pronunciation
hu-HU	Hungarian (Hungary)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation
hy-AM	Armenian (Armenia)	Plain text
id-ID	Indonesian (Indonesia)	Audio + human-labeled transcript, Plain text, Structured text, Pronunciation, Phrase list
is-IS	Icelandic (Iceland)	Plain text
it-CH	Italian (Switzerland)	Plain text
it-IT	Italian (Italy)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
ja-JP	Japanese (Japan)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Phrase list
jv-ID	Javanese (Latin, Indonesia)	Plain text
ka-GE	Georgian (Georgia)	Plain text
kk-KZ	Kazakh (Kazakhstan)	Plain text
km-KH	Khmer (Cambodia)	Plain text
kn-IN	Kannada (India)	Plain text
ko-KR	Korean (Korea)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Phrase list
lo-LA	Lao (Laos)	Plain text
lt-LT	Lithuanian (Lithuania)	Plain text, Pronunciation
lv-LV	Latvian (Latvia)	Plain text, Pronunciation
mk-MK	Macedonian (North Macedonia)	Plain text
ml-IN	Malayalam (India)	Plain text
mn-MN	Mongolian (Mongolia)	Plain text
mr-IN	Marathi (India)	Audio + human-labeled transcript, Plain text
ms-MY	Malay (Malaysia)	Plain text
mt-MT	Maltese (Malta)	Plain text
my-MM	Burmese (Myanmar)	Plain text
nb-NO	Norwegian Bokmål (Norway)	Plain text, Output format
ne-NP	Nepali (Nepal)	Plain text
nl-BE	Dutch (Belgium)	Plain text
nl-NL	Dutch (Netherlands)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
or-IN	Odia (India)	Audio + human-labeled transcript
pa-IN	Punjabi (India)	Audio + human-labeled transcript
pl-PL	Polish (Poland)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
ps-AF	Pashto (Afghanistan)	Plain text
pt-BR	Portuguese (Brazil)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
pt-PT	Portuguese (Portugal)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
ro-RO	Romanian (Romania)	Plain text, Pronunciation
ru-RU	Russian (Russia)	Audio + human-labeled transcript, Plain text, Structured text, Phrase list
si-LK	Sinhala (Sri Lanka)	Plain text
sk-SK	Slovak (Slovakia)	Plain text, Pronunciation
sl-SI	Slovenian (Slovenia)	Plain text, Pronunciation
so-SO	Somali (Somalia)	Plain text
sq-AL	Albanian (Albania)	Plain text
sr-RS	Serbian (Cyrillic, Serbia)	Plain text
sv-SE	Swedish (Sweden)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Pronunciation, Phrase list
sw-KE	Kiswahili (Kenya)	Plain text
sw-TZ	Kiswahili (Tanzania)	Plain text
ta-IN	Tamil (India)	Audio + human-labeled transcript, Plain text, Structured text
te-IN	Telugu (India)	Audio + human-labeled transcript, Plain text, Structured text
th-TH	Thai (Thailand)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Phrase list
tr-TR	Turkish (Türkiye)	Audio + human-labeled transcript, Plain text, Structured text, Output format
uk-UA	Ukrainian (Ukraine)	Audio + human-labeled transcript, Plain text
ur-IN	Urdu (India)	Audio + human-labeled transcript
uz-UZ	Uzbek (Latin, Uzbekistan)	Plain text
vi-VN	Vietnamese (Vietnam)	Plain text, Phrase list
wuu-CN	Chinese (Wu, Simplified)	Plain text
yue-CN	Chinese (Cantonese, Simplified)	Plain text
zh-CN	Chinese (Mandarin, Simplified)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Phrase list
zh-CN-shandong	Chinese (Jilu Mandarin, Simplified)	Plain text
zh-CN-sichuan	Chinese (Southwestern Mandarin, Simplified)	Plain text
zh-HK	Chinese (Cantonese, Traditional)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Phrase list
zh-TW	Chinese (Taiwanese Mandarin, Traditional)	Audio + human-labeled transcript, Plain text, Structured text, Output format, Phrase list
zu-ZA	isiZulu (South Africa)	Plain text

Custom speech display support

These locales support the display text format feature: da-DK, de-DE, en-AU, en-CA, en-GB, en-HK, en-IE, en-IN, en-NG, en-NZ, en-PH, en-SG, en-US, es-ES, es-MX, fi-FI, fr-CA, fr-FR, hi-IN, it-IT, ja-JP, ko-KR, nb-NO, nl-NL, pl-PL, pt-BR, pt-PT, sv-SE, tr-TR, zh-CN, zh-HK.

LLM speech translation

LLM speech supports the following languages for both transcription and translation.

Locale	Language	LLM speech translation support
de	German	✅
en	English	✅
es	Spanish	✅
fr	French	✅
it	Italian	✅
ja	Japanese	✅
ko	Korean	✅
pt	Portuguese	✅
zh	Chinese	✅

Tip

To build and run samples in Visual Studio Code, try the Azure Speech Toolkit.

Text to speech

The table in this section summarizes the locales and voices that text to speech supports. For details, see the table footnotes.

More remarks for text-to-speech locales are included in the Voice styles and roles, Standard voices, Professional voice, and Personal voice sections in this article.

Tip

To determine the right voice for your business needs, check the Voice Gallery.

To build and run samples in Visual Studio Code, try the Azure Speech Toolkit.

Locale (BCP-47)	Language	Text to speech voices
af-ZA	Afrikaans (South Africa)	af-ZA-AdriNeural3 (Female) af-ZA-WillemNeural3 (Male)
am-ET	Amharic (Ethiopia)	am-ET-MekdesNeural3 (Female) am-ET-AmehaNeural3 (Male)
ar-AE	Arabic (United Arab Emirates)	ar-AE-FatimaNeural (Female) ar-AE-HamdanNeural (Male)
ar-BH	Arabic (Bahrain)	ar-BH-LailaNeural (Female) ar-BH-AliNeural (Male)
ar-DZ	Arabic (Algeria)	ar-DZ-AminaNeural (Female) ar-DZ-IsmaelNeural (Male)
ar-EG	Arabic (Egypt)	ar-EG-SalmaNeural (Female) ar-EG-ShakirNeural (Male)
ar-IQ	Arabic (Iraq)	ar-IQ-RanaNeural (Female) ar-IQ-BasselNeural (Male)
ar-JO	Arabic (Jordan)	ar-JO-SanaNeural (Female) ar-JO-TaimNeural (Male)
ar-KW	Arabic (Kuwait)	ar-KW-NouraNeural (Female) ar-KW-FahedNeural (Male)
ar-LB	Arabic (Lebanon)	ar-LB-LaylaNeural (Female) ar-LB-RamiNeural (Male)
ar-LY	Arabic (Libya)	ar-LY-ImanNeural (Female) ar-LY-OmarNeural (Male)
ar-MA	Arabic (Morocco)	ar-MA-MounaNeural (Female) ar-MA-JamalNeural (Male)
ar-OM	Arabic (Oman)	ar-OM-AyshaNeural (Female) ar-OM-AbdullahNeural (Male)
ar-QA	Arabic (Qatar)	ar-QA-AmalNeural (Female) ar-QA-MoazNeural (Male)
ar-SA	Arabic (Saudi Arabia)	ar-SA-ZariyahNeural (Female) ar-SA-HamedNeural (Male)
ar-SY	Arabic (Syria)	ar-SY-AmanyNeural (Female) ar-SY-LaithNeural (Male)
ar-TN	Arabic (Tunisia)	ar-TN-ReemNeural (Female) ar-TN-HediNeural (Male)
ar-YE	Arabic (Yemen)	ar-YE-MaryamNeural (Female) ar-YE-SalehNeural (Male)
as-IN	Assamese (India)	as-IN-YashicaNeural3 (Female) as-IN-PriyomNeural3 (Male)
az-AZ	Azerbaijani (Latin, Azerbaijan)	az-AZ-BanuNeural3 (Female) az-AZ-BabekNeural3 (Male)
bg-BG	Bulgarian (Bulgaria)	bg-BG-KalinaNeural (Female) bg-BG-BorislavNeural (Male)
bn-BD	Bangla (Bangladesh)	bn-BD-NabanitaNeural3 (Female) bn-BD-PradeepNeural3 (Male)
bn-IN	Bengali (India)	bn-IN-TanishaaNeural3 (Female) bn-IN-BashkarNeural3 (Male)
bs-BA	Bosnian (Bosnia and Herzegovina)	bs-BA-VesnaNeural3 (Female) bs-BA-GoranNeural3 (Male)
ca-ES	Catalan	ca-ES-JoanaNeural (Female) ca-ES-EnricNeural (Male) ca-ES-AlbaNeural (Female)
cs-CZ	Czech (Czechia)	cs-CZ-VlastaNeural (Female) cs-CZ-AntoninNeural (Male)
cy-GB	Welsh (United Kingdom)	cy-GB-NiaNeural3 (Female) cy-GB-AledNeural3 (Male)
da-DK	Danish (Denmark)	da-DK-ChristelNeural (Female) da-DK-JeppeNeural (Male)
de-AT	German (Austria)	de-AT-IngridNeural (Female) de-AT-JonasNeural (Male)
de-CH	German (Switzerland)	de-CH-LeniNeural (Female) de-CH-JanNeural (Male)
de-DE	German (Germany)	de-DE-Seraphina:DragonHDLatestNeural (Female) de-DE-Florian:DragonHDLatestNeural (Male) de-DE-SeraphinaMultilingualNeural4 (Female) de-DE-FlorianMultilingualNeural4 (Male) de-DE-KatjaNeural (Female) de-DE-ConradNeural (Male) de-DE-AmalaNeural (Female) de-DE-BerndNeural (Male) de-DE-ChristophNeural (Male) de-DE-ElkeNeural (Female) de-DE-GiselaNeural (Female, Child) de-DE-KasperNeural (Male) de-DE-KillianNeural (Male) de-DE-KlarissaNeural (Female) de-DE-KlausNeural (Male) de-DE-LouisaNeural (Female) de-DE-MajaNeural (Female) de-DE-RalfNeural (Male) de-DE-TanjaNeural (Female)
el-GR	Greek (Greece)	el-GR-AthinaNeural (Female) el-GR-NestorasNeural (Male)
en-AU	English (Australia)	en-AU-WilliamMultilingualNeural4 (Male) en-AU-NatashaNeural (Female) en-AU-WilliamNeural (Male) en-AU-AnnetteNeural (Female) en-AU-CarlyNeural (Female) en-AU-DarrenNeural (Male) en-AU-DuncanNeural (Male) en-AU-ElsieNeural (Female) en-AU-FreyaNeural (Female) en-AU-JoanneNeural (Female) en-AU-KenNeural (Male) en-AU-KimNeural (Female) en-AU-NeilNeural (Male) en-AU-TimNeural (Male) en-AU-TinaNeural (Female)
en-CA	English (Canada)	en-CA-ClaraNeural (Female) en-CA-LiamNeural (Male)
en-GB	English (United Kingdom)	en-GB-Ada:DragonHDLatestNeural (Female) en-GB-Ollie:DragonHDLatestNeural (Male) en-GB-AdaMultilingualNeural4 (Female) en-GB-OllieMultilingualNeural4 (Male) en-GB-SoniaNeural (Female) en-GB-RyanNeural (Male) en-GB-LibbyNeural (Female) en-GB-AbbiNeural (Female) en-GB-AlfieNeural (Male) en-GB-BellaNeural (Female) en-GB-ElliotNeural (Male) en-GB-EthanNeural (Male) en-GB-HollieNeural (Female) en-GB-MaisieNeural (Female, Child) en-GB-NoahNeural (Male) en-GB-OliverNeural (Male) en-GB-OliviaNeural (Female) en-GB-ThomasNeural (Male)
en-HK	English (Hong Kong SAR)	en-HK-YanNeural (Female) en-HK-SamNeural (Male)
en-IE	English (Ireland)	en-IE-EmilyNeural (Female) en-IE-ConnorNeural (Male)
en-IN	English (India)	en-IN-Meera:DragonHDLatestNeural1 (Female) en-IN-Aarti:DragonHDLatestNeural1 (Female) en-IN-Arjun:DragonHDLatestNeural1 (Male) en-IN-AartiIndicNeural (Female) en-IN-ArjunIndicNeural (Male) en-IN-NeerjaIndicNeural (Female) en-IN-PrabhatIndicNeural (Male) en-IN-AaravNeural (Male) en-IN-AashiNeural (Female) en-IN-AartiNeural (Female) en-IN-ArjunNeural (Male) en-IN-AnanyaNeural (Female) en-IN-KavyaNeural (Female) en-IN-KunalNeural (Male) en-IN-NeerjaNeural (Female) en-IN-PrabhatNeural (Male) en-IN-RehaanNeural (Male)
en-KE	English (Kenya)	en-KE-AsiliaNeural (Female) en-KE-ChilembaNeural (Male)
en-NG	English (Nigeria)	en-NG-EzinneNeural (Female) en-NG-AbeoNeural (Male)
en-NZ	English (New Zealand)	en-NZ-MollyNeural (Female) en-NZ-MitchellNeural (Male)
en-PH	English (Philippines)	en-PH-RosaNeural (Female) en-PH-JamesNeural (Male)
en-SG	English (Singapore)	en-SG-LunaNeural (Female) en-SG-WayneNeural (Male)
en-TZ	English (Tanzania)	en-TZ-ImaniNeural (Female) en-TZ-ElimuNeural (Male)
en-US	English (United States)	en-US-Ava:DragonHDLatestNeural (Female) en-US-Andrew:DragonHDLatestNeural (Male) en-US-Adam:DragonHDLatestNeural (Male) en-US-Alloy:DragonHDLatestNeural (Male) en-US-Aria:DragonHDLatestNeural (Female) en-US-Bree:DragonHDLatestNeural (Female) en-US-Brian:DragonHDLatestNeural (Male) en-US-Davis:DragonHDLatestNeural (Male) en-US-Emma:DragonHDLatestNeural (Female) en-US-Emma2:DragonHDLatestNeural (Female) en-US-Jane:DragonHDLatestNeural (Female) en-US-Jenny:DragonHDLatestNeural (Female) en-US-Nova:DragonHDLatestNeural (Female) en-US-Phoebe:DragonHDLatestNeural (Female) en-US-Serena:DragonHDLatestNeural (Female) en-US-Steffan:DragonHDLatestNeural (Male) en-US-Andrew:DragonHDOmniLatestNeural1 (Male) en-US-Caleb:DragonHDOmniLatestNeural1 (Male) en-US-Dana:DragonHDOmniLatestNeural1 (Female) en-US-Lewis:DragonHDOmniLatestNeural1 (Male) en-US-Phoebe:DragonHDOmniLatestNeural1 (Female) en-US-AvaMultilingualNeural4 (Female) en-US-AndrewMultilingualNeural4 (Male) en-US-AmandaMultilingualNeural4 (Female) en-US-AdamMultilingualNeural4 (Male) en-US-EmmaMultilingualNeural4 (Female) en-US-PhoebeMultilingualNeural4 (Female) en-US-AlloyTurboMultilingualNeural4 (Male) en-US-EchoTurboMultilingualNeural4 (Male) en-US-FableTurboMultilingualNeural4 (Neutral) en-US-OnyxTurboMultilingualNeural4 (Male) en-US-NovaTurboMultilingualNeural4 (Female) en-US-ShimmerTurboMultilingualNeural4 (Female) en-US-BrianMultilingualNeural4 (Male) en-US-AvaNeural (Female) en-US-AndrewNeural (Male) en-US-EmmaNeural (Female) en-US-BrianNeural (Male) en-US-JennyNeural (Female) en-US-GuyNeural (Male) en-US-AriaNeural (Female) en-US-DavisNeural (Male) en-US-JaneNeural (Female) en-US-JasonNeural (Male) en-US-KaiNeural (Male) en-US-LunaNeural (Female) en-US-SaraNeural (Female) en-US-TonyNeural (Male) en-US-NancyNeural (Female) en-US-CoraMultilingualNeural4 (Female) en-US-ChristopherMultilingualNeural4 (Male) en-US-BrandonMultilingualNeural4 (Male) en-US-AmberNeural (Female) en-US-AnaNeural (Female, Child) en-US-AshleyNeural (Female) en-US-BrandonNeural (Male) en-US-ChristopherNeural (Male) en-US-CoraNeural (Female) en-US-DavisMultilingualNeural4 (Male) en-US-DerekMultilingualNeural4 (Male) en-US-DustinMultilingualNeural4 (Male) en-US-ElizabethNeural (Female) en-US-EricNeural (Male) en-US-EvelynMultilingualNeural4 (Female) en-US-JacobNeural (Male) en-US-JennyMultilingualNeural4 (Female) en-US-Jimmie:DragonHDFlashLatestNeural (Male) en-US-LewisMultilingualNeural4 (Male) en-US-LolaMultilingualNeural4 (Female) en-US-MichelleNeural (Female) en-US-MonicaNeural (Female) en-US-NancyMultilingualNeural4 (Female) en-US-RogerNeural (Male) en-US-RyanMultilingualNeural4 (Male) en-US-SamuelMultilingualNeural4 (Male) en-US-SerenaMultilingualNeural4 (Female) en-US-SteffanMultilingualNeural4 (Male) en-US-SteffanNeural (Male) en-US-Tiana:DragonHDFlashLatestNeural (Female) en-US-Tyler:DragonHDFlashLatestNeural (Male) en-US-AIGenerate1Neural1 (Male) en-US-AIGenerate2Neural1 (Female) en-US-AshTurboMultilingualNeural1,4 (Male) en-US-BlueNeural1 (Neutral) en-US-Andrew2:DragonHDLatestNeural (Male) en-US-Andrew3:DragonHDLatestNeural1 (Male) en-us-ava:DragonHDOmniLatestNeural1 (Female) en-US-Ava3:DragonHDLatestNeural1 (Female) en-US-MultiTalker-Ava-Andrew:DragonHDLatestNeural1 (Neutral) en-US-MultiTalker-Ava-Steffan:DragonHDLatestNeural1 (Neutral) en-US-Multitalker-Set1:DragonHDLatestNeural1 (Neutral) zh-CN-Multitalker-Xiaochen-Yunhan:DragonHDLatestNeural1 (Neutral)
en-ZA	English (South Africa)	en-ZA-LeahNeural (Female) en-ZA-LukeNeural (Male)
es-AR	Spanish (Argentina)	es-AR-ElenaNeural (Female) es-AR-TomasNeural (Male)
es-BO	Spanish (Bolivia)	es-BO-SofiaNeural (Female) es-BO-MarceloNeural (Male)
es-CL	Spanish (Chile)	es-CL-CatalinaNeural (Female) es-CL-LorenzoNeural (Male)
es-CO	Spanish (Colombia)	es-CO-SalomeNeural (Female) es-CO-GonzaloNeural (Male)
es-CR	Spanish (Costa Rica)	es-CR-MariaNeural (Female) es-CR-JuanNeural (Male)
es-CU	Spanish (Cuba)	es-CU-BelkysNeural (Female) es-CU-ManuelNeural (Male)
es-DO	Spanish (Dominican Republic)	es-DO-RamonaNeural (Female) es-DO-EmilioNeural (Male)
es-EC	Spanish (Ecuador)	es-EC-AndreaNeural (Female) es-EC-LuisNeural (Male)
es-ES	Spanish (Spain)	es-ES-Ximena:DragonHDLatestNeural (Female) es-ES-Tristan:DragonHDLatestNeural (Male) es-ES-ElviraNeural (Female) es-ES-AlvaroNeural (Male) es-ES-ArabellaMultilingualNeural4 (Female) es-ES-IsidoraMultilingualNeural4 (Female) es-ES-TristanMultilingualNeural4 (Male) es-ES-XimenaMultilingualNeural4 (Female) es-ES-AbrilNeural (Female) es-ES-ArnauNeural (Male) es-ES-DarioNeural (Male) es-ES-EliasNeural (Male) es-ES-EstrellaNeural (Female) es-ES-IreneNeural (Female) es-ES-LaiaNeural (Female) es-ES-LiaNeural (Female) es-ES-NilNeural (Male) es-ES-SaulNeural (Male) es-ES-TeoNeural (Male) es-ES-TrianaNeural (Female) es-ES-VeraNeural (Female) es-ES-XimenaNeural (Female)
es-GQ	Spanish (Equatorial Guinea)	es-GQ-TeresaNeural (Female) es-GQ-JavierNeural (Male)
es-GT	Spanish (Guatemala)	es-GT-MartaNeural (Female) es-GT-AndresNeural (Male)
es-HN	Spanish (Honduras)	es-HN-KarlaNeural (Female) es-HN-CarlosNeural (Male)
es-MX	Spanish (Mexico)	es-MX-Ximena:DragonHDLatestNeural (Female) es-MX-Tristan:DragonHDLatestNeural (Male) es-MX-DaliaNeural (Female) es-MX-JorgeNeural (Male) es-MX-DaliaMultilingualNeural4 (Female) es-MX-JorgeMultilingualNeural4 (Male) es-MX-BeatrizNeural (Female) es-MX-CandelaNeural (Female) es-MX-CarlotaNeural (Female) es-MX-CecilioNeural (Male) es-MX-GerardoNeural (Male) es-MX-LarissaNeural (Female) es-MX-LibertoNeural (Male) es-MX-LucianoNeural (Male) es-MX-MarinaNeural (Female, Child) es-MX-NuriaNeural (Female) es-MX-PelayoNeural (Male) es-MX-RenataNeural (Female) es-MX-YagoNeural (Male)
es-NI	Spanish (Nicaragua)	es-NI-YolandaNeural (Female) es-NI-FedericoNeural (Male)
es-PA	Spanish (Panama)	es-PA-MargaritaNeural (Female) es-PA-RobertoNeural (Male)
es-PE	Spanish (Peru)	es-PE-CamilaNeural (Female) es-PE-AlexNeural (Male)
es-PR	Spanish (Puerto Rico)	es-PR-KarinaNeural (Female) es-PR-VictorNeural (Male)
es-PY	Spanish (Paraguay)	es-PY-TaniaNeural (Female) es-PY-MarioNeural (Male)
es-SV	Spanish (El Salvador)	es-SV-LorenaNeural (Female) es-SV-RodrigoNeural (Male)
es-US	Spanish (United States)	es-US-PalomaNeural (Female) es-US-AlonsoNeural (Male)
es-UY	Spanish (Uruguay)	es-UY-ValentinaNeural (Female) es-UY-MateoNeural (Male)
es-VE	Spanish (Venezuela)	es-VE-PaolaNeural (Female) es-VE-SebastianNeural (Male)
et-EE	Estonian (Estonia)	et-EE-AnuNeural3 (Female) et-EE-KertNeural3 (Male)
eu-ES	Basque	eu-ES-AinhoaNeural3 (Female) eu-ES-AnderNeural3 (Male)
fa-IR	Persian (Iran)	fa-IR-DilaraNeural3 (Female) fa-IR-FaridNeural3 (Male)
fi-FI	Finnish (Finland)	fi-FI-SelmaNeural (Female) fi-FI-HarriNeural (Male) fi-FI-NooraNeural (Female)
fil-PH	Filipino (Philippines)	fil-PH-BlessicaNeural3 (Female) fil-PH-AngeloNeural3 (Male)
fr-BE	French (Belgium)	fr-BE-CharlineNeural (Female) fr-BE-GerardNeural (Male)
fr-CA	French (Canada)	fr-CA-Sylvie:DragonHDLatestNeural (Female) fr-CA-Thierry:DragonHDLatestNeural (Male) fr-CA-SylvieNeural (Female) fr-CA-JeanNeural (Male) fr-CA-AntoineNeural (Male) fr-CA-ThierryNeural (Male)
fr-CH	French (Switzerland)	fr-CH-ArianeNeural (Female) fr-CH-FabriceNeural (Male)
fr-FR	French (France)	fr-FR-Vivienne:DragonHDLatestNeural (Female) fr-FR-Remy:DragonHDLatestNeural (Male) fr-FR-DeniseNeural (Female) fr-FR-HenriNeural (Male) fr-FR-VivienneMultilingualNeural4 (Female) fr-FR-RemyMultilingualNeural4 (Male) fr-FR-LucienMultilingualNeural4 (Male) fr-FR-AlainNeural (Male) fr-FR-BrigitteNeural (Female) fr-FR-CelesteNeural (Female) fr-FR-ClaudeNeural (Male) fr-FR-CoralieNeural (Female) fr-FR-EloiseNeural (Female, Child) fr-FR-JacquelineNeural (Female) fr-FR-JeromeNeural (Male) fr-FR-JosephineNeural (Female) fr-FR-MauriceNeural (Male) fr-FR-YvesNeural (Male) fr-FR-YvetteNeural (Female)
ga-IE	Irish (Ireland)	ga-IE-OrlaNeural3 (Female) ga-IE-ColmNeural3 (Male)
gl-ES	Galician	gl-ES-SabelaNeural3 (Female) gl-ES-RoiNeural3 (Male)
gu-IN	Gujarati (India)	gu-IN-DhwaniNeural (Female) gu-IN-NiranjanNeural (Male)
he-IL	Hebrew (Israel)	he-IL-HilaNeural (Female) he-IL-AvriNeural (Male)
hi-IN	Hindi (India)	hi-IN-AaravNeural (Male) hi-IN-AnanyaNeural (Female) hi-IN-AartiNeural (Female) hi-IN-ArjunNeural (Male) hi-IN-KavyaNeural (Female) hi-IN-KunalNeural (Male) hi-IN-RehaanNeural (Male) hi-IN-SwaraNeural (Female) hi-IN-MadhurNeural (Male)
hr-HR	Croatian (Croatia)	hr-HR-GabrijelaNeural (Female) hr-HR-SreckoNeural (Male)
hu-HU	Hungarian (Hungary)	hu-HU-NoemiNeural (Female) hu-HU-TamasNeural (Male)
hy-AM	Armenian (Armenia)	hy-AM-AnahitNeural3 (Female) hy-AM-HaykNeural3 (Male)
id-ID	Indonesian (Indonesia)	id-ID-GadisNeural (Female) id-ID-ArdiNeural (Male)
is-IS	Icelandic (Iceland)	is-IS-GudrunNeural3 (Female) is-IS-GunnarNeural3 (Male)
it-IT	Italian (Italy)	it-IT-Isabella:DragonHDLatestNeural (Female) it-IT-Alessio:DragonHDLatestNeural (Male) it-IT-ElsaNeural (Female) it-IT-IsabellaNeural (Female) it-IT-DiegoNeural (Male) it-IT-AlessioMultilingualNeural4 (Male) it-IT-IsabellaMultilingualNeural4 (Female) it-IT-GiuseppeMultilingualNeural4 (Male) it-IT-MarcelloMultilingualNeural4 (Male) it-IT-BenignoNeural (Male) it-IT-CalimeroNeural (Male) it-IT-CataldoNeural (Male) it-IT-FabiolaNeural (Female) it-IT-FiammaNeural (Female) it-IT-GianniNeural (Male) it-IT-GiuseppeNeural (Male) it-IT-ImeldaNeural (Female) it-IT-IrmaNeural (Female) it-IT-LisandroNeural (Male) it-IT-PalmiraNeural (Female) it-IT-PierinaNeural (Female, Child) it-IT-RinaldoNeural (Male)
iu-CANS-CA	Inuktitut (Syllabics, Canada)	iu-Cans-CA-SiqiniqNeural3 (Female) iu-Cans-CA-TaqqiqNeural3 (Male)
iu-LATN-CA	Inuktitut (Latin, Canada)	iu-Latn-CA-SiqiniqNeural3 (Female) iu-Latn-CA-TaqqiqNeural3 (Male)
ja-JP	Japanese (Japan)	ja-JP-Nanami:DragonHDLatestNeural (Female) ja-JP-Masaru:DragonHDLatestNeural (Male) ja-JP-NanamiNeural (Female) ja-JP-KeitaNeural (Male) ja-JP-AoiNeural (Female) ja-JP-DaichiNeural (Male) ja-JP-MayuNeural (Female) ja-JP-NaokiNeural (Male) ja-JP-ShioriNeural (Female) ja-JP-MasaruMultilingualNeural1,4 (Male)
jv-ID	Javanese (Latin, Indonesia)	jv-ID-SitiNeural3 (Female) jv-ID-DimasNeural3 (Male)
ka-GE	Georgian (Georgia)	ka-GE-EkaNeural3 (Female) ka-GE-GiorgiNeural3 (Male)
kk-KZ	Kazakh (Kazakhstan)	kk-KZ-AigulNeural3 (Female) kk-KZ-DauletNeural3 (Male)
km-KH	Khmer (Cambodia)	km-KH-SreymomNeural3 (Female) km-KH-PisethNeural3 (Male)
kn-IN	Kannada (India)	kn-IN-SapnaNeural3 (Female) kn-IN-GaganNeural3 (Male)
ko-KR	Korean (Korea)	ko-KR-SunHi:DragonHDLatestNeural (Female) ko-KR-Hyunsu:DragonHDLatestNeural (Male) ko-KR-SunHiNeural (Female) ko-KR-InJoonNeural (Male) ko-KR-HyunsuMultilingualNeural4 (Male) ko-KR-BongJinNeural (Male) ko-KR-GookMinNeural (Male) ko-KR-HyunsuNeural (Male) ko-KR-JiMinNeural (Female) ko-KR-SeoHyeonNeural (Female) ko-KR-SoonBokNeural (Female) ko-KR-YuJinNeural (Female)
lo-LA	Lao (Laos)	lo-LA-KeomanyNeural3 (Female) lo-LA-ChanthavongNeural3 (Male)
lt-LT	Lithuanian (Lithuania)	lt-LT-OnaNeural3 (Female) lt-LT-LeonasNeural3 (Male)
lv-LV	Latvian (Latvia)	lv-LV-EveritaNeural3 (Female) lv-LV-NilsNeural3 (Male)
mk-MK	Macedonian (North Macedonia)	mk-MK-MarijaNeural3 (Female) mk-MK-AleksandarNeural3 (Male)
ml-IN	Malayalam (India)	ml-IN-SobhanaNeural3 (Female) ml-IN-MidhunNeural3 (Male)
mn-MN	Mongolian (Mongolia)	mn-MN-YesuiNeural3 (Female) mn-MN-BataaNeural3 (Male)
mr-IN	Marathi (India)	mr-IN-AarohiNeural (Female) mr-IN-ManoharNeural (Male)
ms-MY	Malay (Malaysia)	ms-MY-YasminNeural (Female) ms-MY-OsmanNeural (Male)
mt-MT	Maltese (Malta)	mt-MT-GraceNeural3 (Female) mt-MT-JosephNeural3 (Male)
my-MM	Burmese (Myanmar)	my-MM-NilarNeural3 (Female) my-MM-ThihaNeural3 (Male)
nb-NO	Norwegian Bokmål (Norway)	nb-NO-PernilleNeural (Female) nb-NO-FinnNeural (Male) nb-NO-IselinNeural (Female)
ne-NP	Nepali (Nepal)	ne-NP-HemkalaNeural3 (Female) ne-NP-SagarNeural3 (Male)
nl-BE	Dutch (Belgium)	nl-BE-DenaNeural (Female) nl-BE-ArnaudNeural (Male)
nl-NL	Dutch (Netherlands)	nl-NL-FennaNeural (Female) nl-NL-MaartenNeural (Male) nl-NL-ColetteNeural (Female)
or-IN	Odia (India)	or-IN-SubhasiniNeural3 (Female) or-IN-SukantNeural3 (Male)
pa-IN	Punjabi (India)	pa-IN-OjasNeural3 (Male) pa-IN-VaaniNeural3 (Female)
pl-PL	Polish (Poland)	pl-PL-AgnieszkaNeural (Female) pl-PL-MarekNeural (Male) pl-PL-ZofiaNeural (Female)
ps-AF	Pashto (Afghanistan)	ps-AF-LatifaNeural3 (Female) ps-AF-GulNawazNeural3 (Male)
pt-BR	Portuguese (Brazil)	pt-BR-Thalita:DragonHDLatestNeural (Female) pt-BR-Macerio:DragonHDLatestNeural (Male) pt-BR-FranciscaNeural (Female) pt-BR-AntonioNeural (Male) pt-BR-MacerioMultilingualNeural4 (Male) pt-BR-ThalitaMultilingualNeural4 (Female) pt-BR-BrendaNeural (Female) pt-BR-DonatoNeural (Male) pt-BR-ElzaNeural (Female) pt-BR-FabioNeural (Male) pt-BR-GiovannaNeural (Female) pt-BR-HumbertoNeural (Male) pt-BR-JulioNeural (Male) pt-BR-LeilaNeural (Female) pt-BR-LeticiaNeural (Female, Child) pt-BR-ManuelaNeural (Female) pt-BR-NicolauNeural (Male) pt-BR-ThalitaNeural (Female) pt-BR-ValerioNeural (Male) pt-BR-YaraNeural (Female)
pt-PT	Portuguese (Portugal)	pt-PT-RaquelNeural (Female) pt-PT-DuarteNeural (Male) pt-PT-FernandaNeural (Female)
ro-RO	Romanian (Romania)	ro-RO-AlinaNeural (Female) ro-RO-EmilNeural (Male)
ru-RU	Russian (Russia)	ru-RU-SvetlanaNeural (Female) ru-RU-DmitryNeural (Male) ru-RU-DariyaNeural (Female)
si-LK	Sinhala (Sri Lanka)	si-LK-ThiliniNeural3 (Female) si-LK-SameeraNeural3 (Male)
sk-SK	Slovak (Slovakia)	sk-SK-ViktoriaNeural (Female) sk-SK-LukasNeural (Male)
sl-SI	Slovenian (Slovenia)	sl-SI-PetraNeural (Female) sl-SI-RokNeural (Male)
so-SO	Somali (Somalia)	so-SO-UbaxNeural3 (Female) so-SO-MuuseNeural3 (Male)
sq-AL	Albanian (Albania)	sq-AL-AnilaNeural3 (Female) sq-AL-IlirNeural3 (Male)
sr-LATN-RS	Serbian (Latin, Serbia)	sr-Latn-RS-NicholasNeural3 (Male) sr-Latn-RS-SophieNeural3 (Female)
sr-RS	Serbian (Cyrillic, Serbia)	sr-RS-SophieNeural3 (Female) sr-RS-NicholasNeural3 (Male)
su-ID	Sundanese (Indonesia)	su-ID-TutiNeural3 (Female) su-ID-JajangNeural3 (Male)
sv-SE	Swedish (Sweden)	sv-SE-SofieNeural (Female) sv-SE-MattiasNeural (Male) sv-SE-HilleviNeural (Female)
sw-KE	Kiswahili (Kenya)	sw-KE-ZuriNeural3 (Female) sw-KE-RafikiNeural3 (Male)
sw-TZ	Kiswahili (Tanzania)	sw-TZ-RehemaNeural (Female) sw-TZ-DaudiNeural (Male)
ta-IN	Tamil (India)	ta-IN-PallaviNeural (Female) ta-IN-ValluvarNeural (Male)
ta-LK	Tamil (Sri Lanka)	ta-LK-SaranyaNeural (Female) ta-LK-KumarNeural (Male)
ta-MY	Tamil (Malaysia)	ta-MY-KaniNeural (Female) ta-MY-SuryaNeural (Male)
ta-SG	Tamil (Singapore)	ta-SG-VenbaNeural (Female) ta-SG-AnbuNeural (Male)
te-IN	Telugu (India)	te-IN-ShrutiNeural (Female) te-IN-MohanNeural (Male)
th-TH	Thai (Thailand)	th-TH-PremwadeeNeural (Female) th-TH-NiwatNeural (Male) th-TH-AcharaNeural (Female)
tr-TR	Turkish (Türkiye)	tr-TR-EmelNeural (Female) tr-TR-AhmetNeural (Male)
uk-UA	Ukrainian (Ukraine)	uk-UA-PolinaNeural (Female) uk-UA-OstapNeural (Male)
ur-IN	Urdu (India)	ur-IN-GulNeural (Female) ur-IN-SalmanNeural (Male)
ur-PK	Urdu (Pakistan)	ur-PK-UzmaNeural (Female) ur-PK-AsadNeural (Male)
uz-UZ	Uzbek (Latin, Uzbekistan)	uz-UZ-MadinaNeural3 (Female) uz-UZ-SardorNeural3 (Male)
vi-VN	Vietnamese (Vietnam)	vi-VN-HoaiMyNeural (Female) vi-VN-NamMinhNeural (Male)
wuu-CN	Chinese (Wu, Simplified)	wuu-CN-XiaotongNeural3 (Female) wuu-CN-YunzheNeural3 (Male)
yue-CN	Chinese (Cantonese, Simplified)	yue-CN-XiaoMinNeural3 (Female) yue-CN-YunSongNeural3 (Male)
zh-CN	Chinese (Mandarin, Simplified)	zh-CN-Xiaoxiao:DragonHDFlashLatestNeural (Female) zh-CN-Xiaoxiao2:DragonHDFlashLatestNeural (Female) zh-CN-Xiaochen:DragonHDLatestNeural (Female) zh-CN-Yunxiao:DragonHDFlashLatestNeural (Male) zh-CN-Yunyi:DragonHDFlashLatestNeural (Male) zh-CN-Yunfan:DragonHDLatestNeural (Male) zh-CN-Xiaoyue:DragonHDOmniLatestNeural1 (Female) zh-CN-Yunqi:DragonHDOmniLatestNeural1 (Male) zh-CN-XiaoxiaoNeural (Female) zh-CN-YunxiNeural (Male) zh-CN-YunjianNeural (Male) zh-CN-XiaoyiNeural (Female) zh-CN-YunyangNeural (Male) zh-CN-XiaochenNeural (Female) zh-CN-Xiaochen:DragonHDFlashLatestNeural (Female) zh-CN-XiaochenMultilingualNeural4 (Female) zh-CN-XiaohanNeural (Female) zh-CN-XiaomengNeural (Female) zh-CN-XiaomoNeural (Female) zh-CN-XiaoqiuNeural (Female) zh-CN-XiaorouNeural (Female) zh-CN-XiaoruiNeural (Female) zh-CN-Xiaoshuang:DragonHDFlashLatestNeural (Female) zh-CN-XiaoshuangMultilingualNeural4 (Female) zh-CN-XiaoshuangNeural (Female, Child) zh-CN-XiaoxiaoDialectsNeural (Female) zh-CN-XiaoxiaoMultilingualNeural4 (Female) zh-CN-XiaoyanNeural (Female) zh-CN-Xiaoyou:DragonHDFlashLatestNeural (Female) zh-CN-XiaoyouMultilingualNeural4 (Female) zh-CN-XiaoyouNeural (Female, Child) zh-CN-Xiaoyu:DragonHDFlashLatestNeural (Female) zh-CN-XiaoyuMultilingualNeural4 (Female) zh-CN-XiaozhenNeural (Female) zh-CN-YunfanMultilingualNeural4 (Male) zh-CN-YunfengNeural (Male) zh-CN-YunhaoNeural (Male) zh-CN-YunjieNeural (Male) zh-CN-Yunxia:DragonHDFlashLatestNeural (Male) zh-CN-YunxiaNeural (Male) zh-CN-YunxiaoMultilingualNeural4 (Male) zh-CN-Yunye:DragonHDFlashLatestNeural (Male) zh-CN-YunyeNeural (Male) zh-CN-YunyiMultilingualNeural4 (Male) zh-CN-YunzeNeural (Male)
zh-CN-GUANGXI	Chinese (Guangxi Accent Mandarin, Simplified)	zh-CN-guangxi-YunqiNeural1,3 (Male)
zh-CN-henan	Chinese (Zhongyuan Mandarin Henan, Simplified)	zh-CN-henan-YundengNeural3 (Male)
zh-CN-liaoning	Chinese (Northeastern Mandarin, Simplified)	zh-CN-liaoning-XiaobeiNeural1,3 (Female) zh-CN-liaoning-YunbiaoNeural1,3 (Male)
zh-CN-shaanxi	Chinese (Zhongyuan Mandarin Shaanxi, Simplified)	zh-CN-shaanxi-XiaoniNeural1,3 (Female)
zh-CN-shandong	Chinese (Jilu Mandarin, Simplified)	zh-CN-shandong-YunxiangNeural3 (Male)
zh-CN-sichuan	Chinese (Southwestern Mandarin, Simplified)	zh-CN-sichuan-YunxiNeural1,3 (Male)
zh-HK	Chinese (Cantonese, Traditional)	zh-HK-HiuMaanNeural (Female) zh-HK-WanLungNeural (Male) zh-HK-HiuGaaiNeural (Female)
zh-TW	Chinese (Taiwanese Mandarin, Traditional)	zh-TW-HsiaoChenNeural (Female) zh-TW-YunJheNeural (Male) zh-TW-HsiaoYuNeural (Female)
zu-ZA	isiZulu (South Africa)	zu-ZA-ThandoNeural3 (Female) zu-ZA-ThembaNeural3 (Male)

¹ The neural voice is available in preview. For the current list of regions that support voices and styles in preview, see the table for Azure Speech regions.

² The neural voice is available in public preview. For the current list of regions that support this voice in public preview, see the table for Azure Speech regions.

³ Phonemes, custom lexicon, and visemes aren't supported. For details about supported visemes, see the table of viseme locales.

⁴ The neural voice is a multilingual voice in Azure Speech. The turbo version of Azure OpenAI voices has a similar voice persona to Azure OpenAI voices but supports extra features. Turbo voices support the full set of SSML elements and more features (like word boundary), just like other Azure Speech voices.

⁵ The OpenAI text-to-speech voices in Azure Speech are in preview and are available only in North Central US (northcentralus) and Sweden Central (swedencentral). Locales not listed for OpenAI voices aren't supported. For information about additional differences between OpenAI text-to-speech voices and Azure Speech text-to-speech voices, see OpenAI text-to-speech voices.

⁶ The zh-CN-XiaoxiaoDialectsNeural voice also supports the following secondary locales: zh-CN-shaanxi, zh-CN-sichuan, zh-CN-shanxi, zh-CN-anhui, zh-CN-hunan, zh-CN-gansu, zh-CN-shandong, zh-CN-henan, zh-CN-liaoning, zh-TW, nan-CN, yue-CN, and wuu-CN. To get the latest list of supported secondary locales, see the voice list API reference.

⁷ The multi-talker voice is available in preview in these service regions: East US, West Europe, and Southeast Asia. Only en-US content is supported for this voice.

Multilingual voices

Voices with names that include MultilingualNeural, DragonHDLatestNeural, or DragonHDOmniLatestNeural support multiple languages. These voices enable expressive speech synthesis across languages, which helps reduce language barriers and support inclusive global communication.

DragonHDLatestNeural and DragonHDOmniLatestNeural are neural high‑definition (HD) voices that are based on large language models (LLMs). They can understand the semantic content of the input text, automatically detect emotional cues, and adjust speaking style and tone in real time to better match the sentiment. HD voices maintain a consistent voice persona with their non‑HD (neural) counterparts while providing enhanced capabilities through improved contextual understanding.

MultilingualNeural voices represent an earlier generation of multilingual technology. They offer high naturalness but don't have the same level of contextual awareness as HD voices.

The following table lists all supported speaking languages for each multilingual voice. If a voice doesn't support the language of the input text, Azure Speech doesn't return synthesized audio. The table is sorted in descending order by the number of supported languages.

The locale prefix indicates the voice's primary locale. For example, for the voice en‑US‑AndrewMultilingualNeural, the locale prefix is en‑US, which is the first segment of the voice name.

Voice	Auto-detected language number	Auto-detected language (locale)	All locales number	All languages (locale) supported from SSML
en-US-AdamMultilingualNeural1,2 (Male) en-US-AmandaMultilingualNeural1,2 (Female) en-US-AndrewMultilingualNeural2 (Male) en-US-AvaMultilingualNeural2 (Female) en-US-BrandonMultilingualNeural1,2 (Male) en-US-BrianMultilingualNeural2 (Male) en-US-ChristopherMultilingualNeural1,2 (Male) en-US-CoraMultilingualNeural1,2 (Female) en-US-DavisMultilingualNeural1,2 (Male) en-US-DerekMultilingualNeural1,2 (Male) en-US-DustinMultilingualNeural1,2 (Male) en-US-EmmaMultilingualNeural2 (Female) en-US-EvelynMultilingualNeural1,2 (Female) en-US-LewisMultilingualNeural1,2 (Male) en-US-LolaMultilingualNeural1,2 (Female) en-US-NancyMultilingualNeural1,2 (Female) en-US-PhoebeMultilingualNeural1,2 (Female) en-US-SamuelMultilingualNeural1,2 (Male) en-US-SerenaMultilingualNeural1,2 (Female) en-US-SteffanMultilingualNeural1,2 (Male) en-US-AlloyTurboMultilingualNeural1,2 (Male) en-US-EchoTurboMultilingualNeural1,2 (Male) en-US-FableTurboMultilingualNeural1,2 (Neutral) en-US-NovaTurboMultilingualNeural1,2 (Female) en-US-OnyxTurboMultilingualNeural1,2 (Male) en-US-ShimmerTurboMultilingualNeural1,2 (Female) en-GB-AdaMultilingualNeural1,2 (Female) en-GB-OllieMultilingualNeural1,2 (Male) de-DE-SeraphinaMultilingualNeural2 (Female) de-DE-FlorianMultilingualNeural2 (Male) es-ES-ArabellaMultilingualNeural1,2 (Female) es-ES-IsidoraMultilingualNeural1,2 (Female) es-ES-TristanMultilingualNeural1,2 (Male) es-ES-XimenaMultilingualNeural1,2 (Female) fr-FR-LucienMultilingualNeural1,2 (Male) fr-FR-VivienneMultilingualNeural2 (Female) fr-FR-RemyMultilingualNeural2 (Male) it-IT-AlessioMultilingualNeural1,2 (Male) it-IT-GiuseppeMultilingualNeural1,2 (Male) it-IT-IsabellaMultilingualNeural1,2 (Female) it-IT-MarcelloMultilingualNeural1,2 (Male) ja-JP-MasaruMultilingualNeural1,2 (Male) ko-KR-HyunsuMultilingualNeural1,2 (Male) pt-BR-MacerioMultilingualNeural1,2 (Male) pt-BR-ThalitaMultilingualNeural1,2 (Female) zh-CN-XiaoxiaoMultilingualNeural2 (Female) zh-CN-XiaochenMultilingualNeural2 (Female) zh-CN-XiaoyuMultilingualNeural2 (Female) zh-CN-YunyiMultilingualNeural2 (Male) zh-CN-YunfanMultilingualNeural1,2 (Male) zh-CN-YunxiaoMultilingualNeural1,2 (Male) de-DE-Florian:DragonHDLatestNeural2,4 (Male) de-DE-Seraphina:DragonHDLatestNeural2,4 (Female) en-US-Adam:DragonHDLatestNeural2,4 (Male) en-US-Andrew:DragonHDLatestNeural2,4 (Male) en-US-Andrew2:DragonHDLatestNeural2,4 (Male) en-US-Ava:DragonHDLatestNeural2,4 (Female) en-US-Brian:DragonHDLatestNeural2,4 (Male) en-US-Davis:DragonHDLatestNeural2,4 (Male) en-US-Emma:DragonHDLatestNeural2,4 (Female) en-US-Emma2:DragonHDLatestNeural2,4 (Female) en-US-Steffan:DragonHDLatestNeural2,4 (Male) en-US-Alloy:DragonHDLatestNeural1,2 (Male) en-US-Andrew3:DragonHDLatestNeural1,2 (Male) en-US-Aria:DragonHDLatestNeural1,2 (Female) en-US-Ava3:DragonHDLatestNeural1,2 (Female) en-US-Jenny:DragonHDLatestNeural1,2 (Female) en-US-Nova:DragonHDLatestNeural1,2 (Female) en-US-Phoebe:DragonHDLatestNeural1,2 (Female) en-US-Serena:DragonHDLatestNeural1,2 (Female) es-ES-Tristan:DragonHDLatestNeural2,4 (Male) es-ES-Ximena:DragonHDLatestNeural2,4 (Female) fr-FR-Remy:DragonHDLatestNeural2,4 (Male) fr-FR-Vivienne:DragonHDLatestNeural2,4 (Female) ja-JP-Masaru:DragonHDLatestNeural2,4 (Male) ja-JP-Nanami:DragonHDLatestNeural2,4 (Female) zh-CN-Xiaochen:DragonHDLatestNeural2,4 (Female) zh-CN-Yunfan:DragonHDLatestNeural2,4 (Male)	77	Afrikaans (af-ZA), Albanian (sq-AL), Amharic (am-ET), Arabic (ar-EG), Armenian (hy-AM), Azerbaijani (az-AZ), Bahasa Indonesian (id-ID), Bangla (bn-BD), Basque (eu-ES), Bengali (bn-IN), Bosnian (bs-BA), Bulgarian (bg-BG), Burmese (my-MM), Catalan (ca-ES), Chinese Cantonese (zh-HK), Chinese Mandarin (zh-CN), Chinese Taiwanese (zh-TW), Croatian (hr-HR), Czech (cs-CZ), Danish (da-DK), Dutch (nl-NL), English (en-US), Estonian (et-EE), Filipino (fil-PH), Finnish (fi-FI), French (fr-FR), Galician (gl-ES), Georgian (ka-GE), German (de-DE), Greek (el-GR), Hebrew (he-IL), Hindi (hi-IN), Hungarian (hu-HU), Icelandic (is-IS), Irish (ga-IE), Italian (it-IT), Japanese (ja-JP), Javanese (jv-ID), Kannada (kn-IN), Kazakh (kk-KZ), Khmer (km-KH), Korean (ko-KR), Lao (lo-LA), Latvian (lv-LV), Lithuanian (lt-LT), Macedonian (mk-MK), Malay (ms-MY), Malayalam (ml-IN), Maltese (mt-MT), Mongolian (mn-MN), Nepali (ne-NP), Norwegian Bokmål (nb-NO), Pashto (ps-AF), Persian (fa-IR), Polish (pl-PL), Portuguese (pt-BR), Romanian (ro-RO), Russian (ru-RU), Serbian (sr-RS), Sinhala (si-LK), Slovak (sk-SK), Slovene (sl-SI), Somali (so-SO), Spanish (es-ES), Sundanese (su-ID), Swahili (sw-KE), Swedish (sv-SE), Tamil (ta-IN), Telugu (te-IN), Thai (th-TH), Turkish (tr-TR), Ukrainian (uk-UA), Urdu (ur-PK), Uzbek (uz-UZ), Vietnamese (vi-VN), Welsh (cy-GB), Zulu (zu-ZA)	91	Afrikaans (South Africa) (af-ZA), Albanian (Albania) (sq-AL), Amharic (Ethiopia) (am-ET), Arabic (Egypt) (ar-EG), Arabic (Saudi Arabia) (ar-SA), Armenian (Armenia) (hy-AM), Azerbaijani (Azerbaijan) (az-AZ), Basque (Basque) (eu-ES), Bengali (India) (bn-IN), Bosnian (Bosnia and Herzegovina) (bs-BA), Bulgarian (Bulgaria) (bg-BG), Burmese (Myanmar) (my-MM), Catalan (ca-ES), Chinese (Cantonese, Traditional) (zh-HK), Chinese (Mandarin, Simplified) (zh-CN), Chinese (Taiwanese Mandarin) (zh-TW), Croatian (Croatia) (hr-HR), Czech (Czech) (cs-CZ), Danish (Denmark) (da-DK), Dutch (Belgium) (nl-BE), Dutch (Netherlands) (nl-NL), English (Australia) (en-AU), English (Canada) (en-CA), English (Hong Kong SAR) (en-HK), English (India) (en-IN), English (Ireland) (en-IE), English (United Kingdom) (en-GB), English (United States) (en-US), Estonian (Estonia) (et-EE), Filipino (Philippines) (fil-PH), Finnish (Finland) (fi-FI), French (Belgium) (fr-BE), French (Canada) (fr-CA), French (France) (fr-FR), French (Switzerland) (fr-CH), Galician (Galician) (gl-ES), Georgian (Georgia) (ka-GE), German (Austria) (de-AT), German (Germany) (de-DE), German (Switzerland) (de-CH), Greek (Greece) (el-GR), Hebrew (Israel) (he-IL), Hindi (India) (hi-IN), Hungarian (Hungary) (hu-HU), Icelandic (Iceland) (is-IS), Indonesian (Indonesia) (id-ID), Irish (Ireland) (ga-IE), Italian (Italy) (it-IT), Japanese (Japan) (ja-JP), Javanese (Indonesia) (jv-ID), Kannada (India) (kn-IN), Kazakh (Kazakhstan) (kk-KZ), Khmer (Cambodia) (km-KH), Korean (Korea) (ko-KR), Lao (Laos) (lo-LA), Latvian (Latvia) (lv-LV), Lithuanian (Lithuania) (lt-LT), Macedonian (North Macedonia) (mk-MK), Malay (Malaysia) (ms-MY), Malayalam (India) (ml-IN), Maltese (Malta) (mt-MT), Mongolian (Mongolia) (mn-MN), Nepali (Nepal) (ne-NP), Norwegian (Bokmål, Norway) (nb-NO), Pashto (Afghanistan) (ps-AF), Persian (Iran) (fa-IR), Polish (Poland) (pl-PL), Portuguese (Brazil) (pt-BR), Portuguese (Portugal) (pt-PT), Romanian (Romania) (ro-RO), Russian (Russia) (ru-RU), Serbian (Cyrillic, Serbia) (sr-RS), Sinhala (Sri Lanka) (si-LK), Slovak (Slovakia) (sk-SK), Slovenian (Slovenia) (sl-SI), Somali (Somalia) (so-SO), Spanish (Mexico) (es-MX), Spanish (Spain) (es-ES), Sundanese (Indonesia) (su-ID), Swahili (Kenya) (sw-KE), Swedish (Sweden) (sv-SE), Tamil (India) (ta-IN), Telugu (India) (te-IN), Thai (Thailand) (th-TH), Turkish (Türkiye) (tr-TR), Ukrainian (Ukraine) (uk-UA), Urdu (Pakistan) (ur-PK), Uzbek (Uzbekistan) (uz-UZ), Vietnamese (Vietnam) (vi-VN), Welsh (United Kingdom) (cy-GB), Zulu (South Africa) (zu-ZA)
en-US-AlloyMultilingualNeural3 (Male) en-US-EchoMultilingualNeural3 (Male) en-US-FableMultilingualNeural3 (Neutral) en-US-OnyxMultilingualNeural3 (Male) en-US-NovaMultilingualNeural3 (Female) en-US-ShimmerMultilingualNeural3 (Female) en-US-AlloyMultilingualNeuralHD3 (Male) en-US-EchoMultilingualNeuralHD3 (Male) en-US-FableMultilingualNeuralHD3 (Neutral) en-US-OnyxMultilingualNeuralHD3 (Male) en-US-NovaMultilingualNeuralHD3 (Female) en-US-ShimmerMultilingualNeuralHD3 (Female)	57	Afrikaans (af-ZA), Arabic (ar-EG), Armenian (hy-AM), Azerbaijani (az-AZ), Belarusian (be-BY), Bosnian (bs-BA), Bulgarian (bg-BG), Catalan (ca-ES), Chinese (zh-CN), Croatian (hr-HR), Czech (cs-CZ), Danish (da-DK), Dutch (nl-NL), English (en-US), Estonian (et-EE), Finnish (fi-FI), French (fr-FR), Galician (gl-ES), German (de-DE), Greek (el-GR), Hebrew (he-IL), Hindi (hi-IN), Hungarian (hu-HU), Icelandic (is-IS), Indonesian (id-ID), Italian (it-IT), Japanese (ja-JP), Kannada (kn-IN), Kazakh (kk-KZ), Korean (ko-KR), Latvian (lv-LV), Lithuanian (lt-LT), Macedonian (mk-MK), Malay (ms-MY), Marathi (mr-IN), Maori (mi-NZ), Nepali (ne-NP), Norwegian (nb-NO), Persian (fa-IR), Polish (pl-PL), Portuguese (pt-BR), Romanian (ro-RO), Russian (ru-RU), Serbian (sr-RS), Slovak (sk-SK), Slovenian (sl-SI), Spanish (es-ES), Swahili (sw-KE), Swedish (sv-SE), Tagalog (fil-PH), Tamil (ta-IN), Thai (th-TH), Turkish (tr-TR), Ukrainian (uk-UA), Urdu (ur-PK), Vietnamese (vi-VN), Welsh (cy-GB)	57	Afrikaans (af-ZA), Arabic (ar-EG), Armenian (hy-AM), Azerbaijani (az-AZ), Belarusian (be-BY), Bosnian (bs-BA), Bulgarian (bg-BG), Catalan (ca-ES), Chinese (zh-CN), Croatian (hr-HR), Czech (cs-CZ), Danish (da-DK), Dutch (nl-NL), English (en-US), Estonian (et-EE), Finnish (fi-FI), French (fr-FR), Galician (gl-ES), German (de-DE), Greek (el-GR), Hebrew (he-IL), Hindi (hi-IN), Hungarian (hu-HU), Icelandic (is-IS), Indonesian (id-ID), Italian (it-IT), Japanese (ja-JP), Kannada (kn-IN), Kazakh (kk-KZ), Korean (ko-KR), Latvian (lv-LV), Lithuanian (lt-LT), Macedonian (mk-MK), Malay (ms-MY), Marathi (mr-IN), Maori (mi-NZ), Nepali (ne-NP), Norwegian (nb-NO), Persian (fa-IR), Polish (pl-PL), Portuguese (pt-BR), Romanian (ro-RO), Russian (ru-RU), Serbian (sr-RS), Slovak (sk-SK), Slovenian (sl-SI), Spanish (es-ES), Swahili (sw-KE), Swedish (sv-SE), Tagalog (fil-PH), Tamil (ta-IN), Thai (th-TH), Turkish (tr-TR), Ukrainian (uk-UA), Urdu (ur-PK), Vietnamese (vi-VN), Welsh (cy-GB)
en-US-JennyMultilingualNeural2 (Female) en-US-RyanMultilingualNeural2 (Male)	26	Arabic (ar-EG), Catalan (ca-ES), Chinese Cantonese (zh-HK), Chinese Mandarin (zh-CN), Chinese Taiwanese (zh-TW), Czech (cs-CZ), Danish (da-DK), Dutch (nl-NL), English (en-US), Finnish (fi-FI), French (fr-FR), German (de-DE), Hindi (hi-IN), Hungarian (hu-HU), Indonesian (id-ID), Italian (it-IT), Japanese (ja-JP), Korean (ko-KR), Norwegian Bokmål (nb-NO), Polish (pl-PL), Portuguese (pt-BR), Russian (ru-RU), Spanish (es-ES), Swedish (sv-SE), Thai (th-TH), Turkish (tr-TR)	41	Arabic (Egypt) (ar-EG), Arabic (Saudi Arabia) (ar-SA), Catalan (ca-ES), Chinese (Cantonese, Traditional) (zh-HK), Chinese (Mandarin, Simplified) (zh-CN), Chinese (Taiwanese Mandarin) (zh-TW), Czech (Czech) (cs-CZ), Danish (Denmark) (da-DK), Dutch (Belgium) (nl-BE), Dutch (Netherlands) (nl-NL), English (Australia) (en-AU), English (Canada) (en-CA), English (Hong Kong SAR) (en-HK), English (India) (en-IN), English (Ireland) (en-IE), English (United Kingdom) (en-GB), English (United States) (en-US), Finnish (Finland) (fi-FI), French (Belgium) (fr-BE), French (Canada) (fr-CA), French (France) (fr-FR), French (Switzerland) (fr-CH), German (Austria) (de-AT), German (Germany) (de-DE), German (Switzerland) (de-CH), Hindi (India) (hi-IN), Hungarian (Hungary) (hu-HU), Indonesian (Indonesia) (id-ID), Italian (Italy) (it-IT), Japanese (Japan) (ja-JP), Korean (Korea) (ko-KR), Norwegian (Bokmål, Norway) (nb-NO), Polish (Poland) (pl-PL), Portuguese (Brazil) (pt-BR), Portuguese (Portugal) (pt-PT), Russian (Russia) (ru-RU), Spanish (Mexico) (es-MX), Spanish (Spain) (es-ES), Swedish (Sweden) (sv-SE), Thai (Thailand) (th-TH), Turkish (Türkiye) (tr-TR)
zh-CN-Xiaochen:DragonHDFlashLatestNeural1,2,5 (Female) zh-CN-Xiaoxiao:DragonHDFlashLatestNeural1,2,5 (Female) zh-CN-Xiaoxiao2:DragonHDFlashLatestNeural1,2,5 (Female) zh-CN-Yunxiao:DragonHDFlashLatestNeural1,2,5 (Male) zh-CN-Yunyi:DragonHDFlashLatestNeural1,2,5 (Male)	1	Chinese (Mandarin, Simplified) (zh-CN)	1	Chinese (Mandarin, Simplified) (zh-CN)

¹ The neural voice is available in preview. For the current list of regions that support voices and styles in preview, see the table for Azure Speech regions.

² The neural voice is a multilingual voice in Azure Speech. The turbo version of Azure OpenAI voices has a similar voice persona to Azure OpenAI voices but supports extra features. Turbo voices support the full set of SSML elements and more features (like word boundary), just like other Azure Speech voices. All multilingual voices can speak in the auto-detected language of the input text in the default locale without using SSML. However, you can still use the <lang xml:lang> element to set the preferred speaking accent of each language, such as a British accent (en-GB) for English.

³ The OpenAI text-to-speech voices in Azure Speech are in preview and are available only in North Central US (northcentralus) and Sweden Central (swedencentral). Locales not listed for OpenAI voices aren't supported. For information about additional differences between OpenAI text-to-speech voices and Azure Speech text-to-speech voices, see OpenAI text-to-speech voices.

⁴ For the current list of regions where this voice is generally available, see the table for Azure Speech regions.

⁵ The voice is available in the ChinaNorth3 region.

Multi-talker voices

Multi-talker voices enable natural, dynamic conversations with multiple distinct speakers. This innovation enhances the realism of synthesized dialogues by preserving contextual flow, emotional consistency, and natural speech patterns.

Use this capability to generate engaging, podcast-style speech or conversational exchanges with seamless transitions between speakers. Unlike single-talker models, which synthesize each turn in isolation, multi-talker voices maintain coherence across dialogue. This coherence helps ensure a more authentic and immersive listening experience.

Locale (BCP-47)	Language	Text-to-speech voices
en-US	English (United States)	en-US-MultiTalker-Ava-Andrew:DragonHDLatestNeural1 (Neutral)
en-US	English (United States)	en-US-MultiTalker-Ava-Steffan:DragonHDLatestNeural1 (Neutral)

¹ The neural voice is available in preview. For the current list of regions that support voices and styles in public preview, see the table for Azure Speech regions.

For more information about how to use multi-talker voices via Speech Synthesis Markup Language (SSML), see Multi-talker voice example.

Voice styles and roles

In some cases, you can adjust the speaking style to express emotions like cheerfulness, empathy, and calm. All standard voices with speaking styles and multi-style custom voices support adjustment of style degree. You can optimize the voice for scenarios like customer service, newscast, and voice assistant. With roles, the same voice can act as a different age and gender.

To learn how you can configure and adjust voice styles and roles, see Use speaking styles and roles.

Use the following table to determine supported styles and roles for each voice.

Voice	Styles	Roles
de-DE-ConradNeural	cheerful, sad	Not supported
en-GB-RyanNeural	chat, cheerful, sad, whispering	Not supported
en-GB-SoniaNeural	cheerful, sad	Not supported
en-IN-NeerjaNeural	cheerful, empathetic, newscast	Not supported
en-US-AndrewMultilingualNeural	empathetic, relieved	Not supported
en-US-AriaNeural	angry, chat, cheerful, customerservice, empathetic, excited, friendly, hopeful, narration-professional, newscast-casual, newscast-formal, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-AvaNeural	angry, fearful, sad	Not supported
en-US-DavisMultilingualNeural1	empathetic, funny, relieved	Not supported
en-US-DavisNeural	angry, chat, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-DerekMultilingualNeural1	empathetic, excited, relieved, shy	Not supported
en-US-GuyNeural	angry, cheerful, excited, friendly, hopeful, newscast, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-JaneNeural	angry, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-JasonNeural	angry, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-JennyNeural	angry, assistant, chat, cheerful, customerservice, excited, friendly, hopeful, newscast, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-KaiNeural	conversation	Not supported
en-US-LunaNeural	conversation	Not supported
en-US-NancyMultilingualNeural1	excited, friendly, funny, relieved, shy	Not supported
en-US-NancyNeural	angry, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-PhoebeMultilingualNeural1	empathetic, sad, serious	Not supported
en-US-SaraNeural	angry, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	Not supported
en-US-SerenaMultilingualNeural1	empathetic, excited, friendly, relieved, sad, serious, shy	Not supported
en-US-TonyNeural	angry, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	Not supported
es-ES-AlvaroNeural	cheerful, sad	Not supported
es-MX-DaliaNeural	cheerful, sad, whispering	Not supported
es-MX-JorgeNeural	chat, cheerful, excited, sad, whispering	Not supported
fr-FR-DeniseNeural	cheerful, excited, sad, whispering	Not supported
fr-FR-HenriNeural	cheerful, excited, sad, whispering	Not supported
hi-IN-SwaraNeural	cheerful, empathetic, newscast	Not supported
it-IT-DiegoNeural	cheerful, excited, sad	Not supported
it-IT-IsabellaNeural	chat, cheerful, excited, sad, whispering	Not supported
ja-JP-NanamiNeural	chat, cheerful, customerservice	Not supported
ko-KR-InJoonNeural	sad	Not supported
pt-BR-FranciscaNeural	calm	Not supported
pt-PT-RaquelNeural	sad, whispering	Not supported
zh-CN-XiaochenNeural	livecommercial	Not supported
zh-CN-XiaohanNeural	affectionate, angry, calm, cheerful, disgruntled, embarrassed, fearful, gentle, sad, serious	Not supported
zh-CN-XiaomengNeural	chat	Not supported
zh-CN-XiaomoNeural	affectionate, angry, calm, cheerful, depressed, disgruntled, embarrassed, envious, fearful, gentle, sad, serious	Boy, Girl, OlderAdultFemale, OlderAdultMale, SeniorFemale, SeniorMale, YoungAdultFemale, YoungAdultMale
zh-CN-XiaoruiNeural	angry, calm, fearful, sad	Not supported
zh-CN-Xiaoshuang:DragonHDFlashLatestNeural	chat	Not supported
zh-CN-XiaoshuangMultilingualNeural	chat	Not supported
zh-CN-XiaoshuangNeural	chat	Not supported
zh-CN-Xiaoxiao:DragonHDFlashLatestNeural1	angry, chat, cheerful, customerservice, excited, fearful, sad, voiceassistant	Not supported
zh-CN-Xiaoxiao2:DragonHDFlashLatestNeural1	affectionate, angry, anxious, cheerful, curious, disappointed, empathetic, encouragement, excited, fearful, guilty, lonely, poetry-reading, sad, sentiment, sorry, story, surprised, tired, whisper	Not supported
zh-CN-XiaoxiaoMultilingualNeural	affectionate, cheerful, empathetic, excited, poetry-reading, sorry, story	Not supported
zh-CN-XiaoxiaoNeural	affectionate, angry, assistant, calm, chat, chat-casual, cheerful, customerservice, disgruntled, excited, fearful, friendly, gentle, lyrical, newscast, poetry-reading, sad, serious, sorry, whispering	Not supported
zh-CN-XiaoyiNeural	affectionate, angry, cheerful, disgruntled, embarrassed, fearful, gentle, sad, serious	Not supported
zh-CN-Xiaoyou:DragonHDFlashLatestNeural	angry, chat, cheerful, cute, poetry-reading, sad, story	Not supported
zh-CN-XiaoyouMultilingualNeural	angry, chat, cheerful, cute, poetry-reading, sad, story	Not supported
zh-CN-Xiaoyu:DragonHDFlashLatestNeural	angry, argue, cheerful, comfort, sad, sorry	Not supported
zh-CN-XiaozhenNeural	angry, cheerful, disgruntled, fearful, sad, serious	Not supported
zh-CN-YunfengNeural	angry, cheerful, depressed, disgruntled, fearful, sad, serious	Not supported
zh-CN-YunhaoNeural2	advertisement-upbeat	Not supported
zh-CN-YunjianNeural3,4	angry, cheerful, depressed, disgruntled, documentary-narration, narration-relaxed, sad, serious, sports-commentary, sports-commentary-excited	Not supported
zh-CN-Yunxia:DragonHDFlashLatestNeural	affectionate, angry, cheerful, comfort, encourage, excited, fearful, sad, surprised	Not supported
zh-CN-YunxiaNeural	angry, calm, cheerful, fearful, sad	Not supported
zh-CN-YunxiNeural	angry, assistant, chat, cheerful, depressed, disgruntled, embarrassed, fearful, narration-relaxed, newscast, sad, serious	Boy, Narrator, YoungAdultMale
zh-CN-YunyangNeural	customerservice, narration-professional, newscast-casual	Not supported
zh-CN-YunyeNeural	angry, calm, cheerful, disgruntled, embarrassed, fearful, sad, serious	Boy, Girl, OlderAdultFemale, OlderAdultMale, SeniorFemale, SeniorMale, YoungAdultFemale, YoungAdultMale
zh-CN-Yunyi:DragonHDFlashLatestNeural1	assassin, captain, cavalier, drake, gamenarrator, geomancer, poet	Not supported
zh-CN-YunzeNeural	angry, calm, cheerful, depressed, disgruntled, documentary-narration, fearful, sad, serious	OlderAdultMale, SeniorMale

¹ The neural voice is available in preview. Voices and styles in preview are available in only three service regions: East US, West Europe, and Southeast Asia.

² The advertisement-upbeat style for this voice is in preview and is available in only three service regions: East US, West Europe, and Southeast Asia.

³ The sports-commentary style for this voice is in preview and is available in only three service regions: East US, West Europe, and Southeast Asia.

⁴ The sports-commentary-excited style for this voice is in preview and is available in only three service regions: East US, West Europe, and Southeast Asia.

Visemes

This table lists all the locales supported for viseme. For more information about viseme, see Get facial position with viseme and Viseme element.

Locale (BCP-47)	Language	Viseme feature
ar-AE	Arabic (United Arab Emirates)	Viseme ID
ar-BH	Arabic (Bahrain)	Viseme ID
ar-DZ	Arabic (Algeria)	Viseme ID
ar-EG	Arabic (Egypt)	Viseme ID
ar-IQ	Arabic (Iraq)	Viseme ID
ar-JO	Arabic (Jordan)	Viseme ID
ar-KW	Arabic (Kuwait)	Viseme ID
ar-LB	Arabic (Lebanon)	Viseme ID
ar-LY	Arabic (Libya)	Viseme ID
ar-MA	Arabic (Morocco)	Viseme ID
ar-OM	Arabic (Oman)	Viseme ID
ar-QA	Arabic (Qatar)	Viseme ID
ar-SA	Arabic (Saudi Arabia)	Viseme ID
ar-SY	Arabic (Syria)	Viseme ID
ar-TN	Arabic (Tunisia)	Viseme ID
ar-YE	Arabic (Yemen)	Viseme ID
bg-BG	Bulgarian (Bulgaria)	Viseme ID
ca-ES	Catalan	Viseme ID
cs-CZ	Czech (Czechia)	Viseme ID
da-DK	Danish (Denmark)	Viseme ID
de-AT	German (Austria)	Viseme ID Blend shapes
de-CH	German (Switzerland)	Viseme ID Blend shapes
de-DE	German (Germany)	Viseme ID Blend shapes
el-GR	Greek (Greece)	Viseme ID
en-AU	English (Australia)	Viseme ID Blend shapes
en-CA	English (Canada)	Viseme ID Blend shapes
en-GB	English (United Kingdom)	Viseme ID Blend shapes
en-HK	English (Hong Kong SAR)	Viseme ID Blend shapes
en-IE	English (Ireland)	Viseme ID Blend shapes
en-IN	English (India)	Viseme ID Blend shapes
en-KE	English (Kenya)	Viseme ID Blend shapes
en-NG	English (Nigeria)	Viseme ID Blend shapes
en-NZ	English (New Zealand)	Viseme ID Blend shapes
en-PH	English (Philippines)	Viseme ID Blend shapes
en-SG	English (Singapore)	Viseme ID Blend shapes
en-TZ	English (Tanzania)	Viseme ID Blend shapes
en-US	English (United States)	Viseme ID Blend shapes Scalable vector graphics (SVG)
en-ZA	English (South Africa)	Viseme ID Blend shapes
es-AR	Spanish (Argentina)	Viseme ID Blend shapes
es-BO	Spanish (Bolivia)	Viseme ID Blend shapes
es-CL	Spanish (Chile)	Viseme ID Blend shapes
es-CO	Spanish (Colombia)	Viseme ID Blend shapes
es-CR	Spanish (Costa Rica)	Viseme ID Blend shapes
es-CU	Spanish (Cuba)	Viseme ID Blend shapes
es-DO	Spanish (Dominican Republic)	Viseme ID Blend shapes
es-EC	Spanish (Ecuador)	Viseme ID Blend shapes
es-ES	Spanish (Spain)	Viseme ID Blend shapes
es-GQ	Spanish (Equatorial Guinea)	Viseme ID Blend shapes
es-GT	Spanish (Guatemala)	Viseme ID Blend shapes
es-HN	Spanish (Honduras)	Viseme ID Blend shapes
es-MX	Spanish (Mexico)	Viseme ID Blend shapes
es-NI	Spanish (Nicaragua)	Viseme ID Blend shapes
es-PA	Spanish (Panama)	Viseme ID Blend shapes
es-PE	Spanish (Peru)	Viseme ID Blend shapes
es-PR	Spanish (Puerto Rico)	Viseme ID Blend shapes
es-PY	Spanish (Paraguay)	Viseme ID Blend shapes
es-SV	Spanish (El Salvador)	Viseme ID Blend shapes
es-US	Spanish (United States)	Viseme ID Blend shapes
es-UY	Spanish (Uruguay)	Viseme ID Blend shapes
es-VE	Spanish (Venezuela)	Viseme ID Blend shapes
fi-FI	Finnish (Finland)	Viseme ID
fr-BE	French (Belgium)	Viseme ID Blend shapes
fr-CA	French (Canada)	Viseme ID Blend shapes
fr-CH	French (Switzerland)	Viseme ID Blend shapes
fr-FR	French (France)	Viseme ID Blend shapes
gu-IN	Gujarati (India)	Viseme ID
he-IL	Hebrew (Israel)	Viseme ID
hi-IN	Hindi (India)	Viseme ID
hr-HR	Croatian (Croatia)	Viseme ID
hu-HU	Hungarian (Hungary)	Viseme ID
id-ID	Indonesian (Indonesia)	Viseme ID
it-IT	Italian (Italy)	Viseme ID Blend shapes
ja-JP	Japanese (Japan)	Viseme ID
ko-KR	Korean (Korea)	Viseme ID
mr-IN	Marathi (India)	Viseme ID
ms-MY	Malay (Malaysia)	Viseme ID
nb-NO	Norwegian Bokmål (Norway)	Viseme ID
nl-BE	Dutch (Belgium)	Viseme ID
nl-NL	Dutch (Netherlands)	Viseme ID
pl-PL	Polish (Poland)	Viseme ID
pt-BR	Portuguese (Brazil)	Viseme ID Blend shapes
pt-PT	Portuguese (Portugal)	Viseme ID Blend shapes
ro-RO	Romanian (Romania)	Viseme ID
ru-RU	Russian (Russia)	Viseme ID
sk-SK	Slovak (Slovakia)	Viseme ID
sl-SI	Slovenian (Slovenia)	Viseme ID
sv-SE	Swedish (Sweden)	Viseme ID
sw-TZ	Swahili (Tanzania)	Viseme ID
ta-IN	Tamil (India)	Viseme ID
ta-LK	Tamil (Sri Lanka)	Viseme ID
ta-MY	Tamil (Malaysia)	Viseme ID
ta-SG	Tamil (Singapore)	Viseme ID
te-IN	Telugu (India)	Viseme ID
th-TH	Thai (Thailand)	Viseme ID
tr-TR	Turkish (Türkiye)	Viseme ID
uk-UA	Ukrainian (Ukraine)	Viseme ID
ur-IN	Urdu (India)	Viseme ID
ur-PK	Urdu (Pakistan)	Viseme ID
vi-VN	Vietnamese (Vietnam)	Viseme ID
zh-CN	Chinese (Mandarin, Simplified)	Viseme ID Blend shapes
zh-HK	Chinese (Cantonese, Traditional)	Viseme ID
zh-HK	Chinese (Taiwanese Mandarin, Traditional)	Viseme ID (except zh-TW-HsiaoYuNeural)

Standard voices

Each standard voice supports a specific language and dialect, identified by locale. You can try the demo and hear the voices in the Voice Gallery.

Important

Pricing varies for standard voice and custom voice. For more information, see the Azure Speech in Foundry Tools pricing page.

Each standard voice model is available at 24 kHz and high-fidelity 48 kHz. You can get other sample rates through upsampling or downsampling when synthesizing.

Professional voice

Use professional voice fine-tuning to create synthetic voices that are rich in speaking styles. You can create a unique brand voice in multiple languages and styles by using a small set of recording data. Multi-style custom voices support adjustment of style degree.

Select the right locale that matches the data for your professional voice fine-tuning. For example, if the recording data is spoken in English with a British accent, select en-GB.

By using the cross-lingual feature, you can transfer your custom voice model to speak a second language. For example, with the zh-CN data, you can create a voice that speaks en-AU or any of the languages with cross-lingual support.

For the cross-lingual feature, we categorize locales into two tiers:

• A tier that includes source languages that support the cross-lingual feature
• A tier that comprises locales designated as target languages for cross-lingual transfer

The following table distinguishes locales that function as both cross-lingual sources and targets from locales that are eligible solely as target locales for cross-lingual transfer.

Locale (BCP-47)	Language	Custom voice feature
ar-EG	Arabic (Egypt)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
ar-OM	Arabic (Oman)	Professional voice
ar-SA	Arabic (Saudi Arabia)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
ar-SY	Arabic (Syria)	Professional voice
ar-TN	Arabic (Tunisia)	Professional voice
bg-BG	Bulgarian (Bulgaria)	Professional voice
ca-ES	Catalan	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
cs-CZ	Czech (Czechia)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
da-DK	Danish (Denmark)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
de-AT	German (Austria)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
de-CH	German (Switzerland)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
de-DE	German (Germany)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
el-GR	Greek (Greece)	Professional voice Multi-style voice
en-AU	English (Australia)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
en-CA	English (Canada)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
en-GB	English (United Kingdom)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
en-IE	English (Ireland)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
en-IN	English (India)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
en-KE	English (Kenya)	Professional voice
en-NG	English (Nigeria)	Professional voice
en-NZ	English (New Zealand)	Professional voice
en-PH	English (Philippines)	Professional voice
en-SG	English (Singapore)	Professional voice
en-TZ	English (Tanzania)	Professional voice
en-US	English (United States)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary HD voice
en-ZA	English (South Africa)	Professional voice
es-AR	Spanish (Argentina)	Professional voice
es-CL	Spanish (Chile)	Professional voice
es-CO	Spanish (Colombia)	Professional voice
es-ES	Spanish (Spain)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
es-MX	Spanish (Mexico)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
es-US	Spanish (United States)	Professional voice
fi-FI	Finnish (Finland)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
fr-BE	French (Belgium)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
fr-CA	French (Canada)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
fr-CH	French (Switzerland)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
fr-FR	French (France)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
he-IL	Hebrew (Israel)	Professional voice Multi-style voice
hi-IN	Hindi (India)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
hr-HR	Croatian (Croatia)	Professional voice Multi-style voice
hu-HU	Hungarian (Hungary)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
id-ID	Indonesian (Indonesia)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
it-IT	Italian (Italy)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
ja-JP	Japanese (Japan)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
ko-KR	Korean (Korea)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
ms-MY	Malay (Malaysia)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
nb-NO	Norwegian Bokmål (Norway)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
nl-BE	Dutch (Belgium)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
nl-NL	Dutch (Netherlands)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
pl-PL	Polish (Poland)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
pt-BR	Portuguese (Brazil)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
pt-PT	Portuguese (Portugal)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
ro-RO	Romanian (Romania)	Professional voice Multi-style voice
ru-RU	Russian (Russia)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
sk-SK	Slovak (Slovakia)	Professional voice Multi-style voice
sl-SI	Slovenian (Slovenia)	Professional voice Multi-style voice
sv-SE	Swedish (Sweden)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
ta-IN	Tamil (India)	Professional voice Cross-lingual voice source and target Multilingual voice primary and secondary
ta-MY	Tamil (Malaysia)	Professional voice Multi-style voice
te-IN	Telugu (India)	Professional voice Multi-style voice
th-TH	Thai (Thailand)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
tr-TR	Turkish (Türkiye)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
vi-VN	Vietnamese (Vietnam)	Professional voice Multi-style voice
zh-CN	Chinese (Mandarin, Simplified)	Professional voice Custom voice lite Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary HD voice
zh-HK	Chinese (Cantonese, Traditional)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary
zh-SG	Chinese (Simplified, Singapore)	Professional voice
zh-TW	Chinese (Taiwanese Mandarin, Traditional)	Professional voice Cross-lingual voice source and target Multi-style voice Multilingual voice primary and secondary

Personal voice

Personal voice is a feature for creating a voice that sounds like you or your users. The following table summarizes the supported locales for personal voice.

Locale (BCP-47)	Language
am-ET	Amharic (Ethiopia)
ar-EG	Arabic (Egypt)
ar-SA	Arabic (Saudi Arabia)
bg-BG	Bulgarian (Bulgaria)
bn-IN	Bengali (India)
bs-BA	Bosnian (Bosnia and Herzegovina)
ca-ES	Catalan
cs-CZ	Czech (Czechia)
da-DK	Danish (Denmark)
de-AT	German (Austria)
de-CH	German (Switzerland)
de-DE	German (Germany)
el-GR	Greek (Greece)
en-AU	English (Australia)
en-CA	English (Canada)
en-GB	English (United Kingdom)
en-IE	English (Ireland)
en-IN	English (India)
en-US	English (United States)
es-ES	Spanish (Spain)
es-MX	Spanish (Mexico)
et-EE	Estonian (Estonia)
eu-ES	Basque
fi-FI	Finnish (Finland)
fil-PH	Filipino (Philippines)
fr-BE	French (Belgium)
fr-CA	French (Canada)
fr-CH	French (Switzerland)
fr-FR	French (France)
gl-ES	Galician
he-IL	Hebrew (Israel)
hi-IN	Hindi (India)
hr-HR	Croatian (Croatia)
hu-HU	Hungarian (Hungary)
id-ID	Indonesian (Indonesia)
it-IT	Italian (Italy)
ja-JP	Japanese (Japan)
jv-ID	Javanese (Latin, Indonesia)
ko-KR	Korean (Korea)
mk-MK	Macedonian (North Macedonia)
ms-MY	Malay (Malaysia)
nb-NO	Norwegian Bokmål (Norway)
ne-NP	Nepali (Nepal)
nl-BE	Dutch (Belgium)
nl-NL	Dutch (Netherlands)
pl-PL	Polish (Poland)
ps-AF	Pashto (Afghanistan)
pt-BR	Portuguese (Brazil)
pt-PT	Portuguese (Portugal)
ro-RO	Romanian (Romania)
ru-RU	Russian (Russia)
sk-SK	Slovak (Slovakia)
sl-SI	Slovenian (Slovenia)
sv-SE	Swedish (Sweden)
sw-KE	Swahili (Kenya)
ta-IN	Tamil (India)
te-IN	Telugu (India)
th-TH	Thai (Thailand)
tr-TR	Turkish (Türkiye)
uk-UA	Ukrainian (Ukraine)
vi-VN	Vietnamese (Vietnam)
zh-CN	Chinese (Mandarin, Simplified)
zh-HK	Chinese (Cantonese, Traditional)
zh-TW	Chinese (Taiwanese Mandarin, Traditional)
zu-ZA	Zulu (South Africa)

Voice conversion

Voice conversion is a feature for transforming the voice characteristics of audio to a target voice speaker. The following table summarizes the supported locales for voice conversion. Each language is available in all voice conversion regions.

Locale (BCP-47)	Language	Text-to-speech voices
en-US	English (United States)	en-US-AdamMultilingualNeural (Male)
en-US	English (United States)	en-US-AlloyTurboMultilingualNeural (Male)
en-US	English (United States)	en-US-AmandaMultilingualNeural (Female)
en-US	English (United States)	en-US-AndrewMultilingualNeural (Male)
en-US	English (United States)	en-US-AvaMultilingualNeural (Female)
en-US	English (United States)	en-US-BrandonMultilingualNeural (Male)
en-US	English (United States)	en-US-BrianMultilingualNeural (Male)
en-US	English (United States)	en-US-ChristopherMultilingualNeural (Male)
en-US	English (United States)	en-US-CoraMultilingualNeural (Female)
en-US	English (United States)	en-US-DavisMultilingualNeural (Male)
en-US	English (United States)	en-US-DerekMultilingualNeural (Male)
en-US	English (United States)	en-US-DustinMultilingualNeural (Male)
en-US	English (United States)	en-US-EchoTurboMultilingualNeural (Male)
en-US	English (United States)	en-US-EmmaMultilingualNeural (Female)
en-US	English (United States)	en-US-EvelynMultilingualNeural (Female)
en-US	English (United States)	en-US-FableTurboMultilingualNeural (Neutral)
en-US	English (United States)	en-US-JennyMultilingualNeural (Female)
en-US	English (United States)	en-US-LewisMultilingualNeural (Male)
en-US	English (United States)	en-US-LolaMultilingualNeural (Female)
en-US	English (United States)	en-US-NancyMultilingualNeural (Female)
en-US	English (United States)	en-US-NovaTurboMultilingualNeural (Female)
en-US	English (United States)	en-US-OnyxTurboMultilingualNeural (Male)
en-US	English (United States)	en-US-PhoebeMultilingualNeural (Female)
en-US	English (United States)	en-US-RyanMultilingualNeural (Male)
en-US	English (United States)	en-US-SamuelMultilingualNeural (Male)
en-US	English (United States)	en-US-SerenaMultilingualNeural (Female)
en-US	English (United States)	en-US-ShimmerTurboMultilingualNeural (Female)
en-US	English (United States)	en-US-SteffanMultilingualNeural (Male)

Pronunciation assessment

The table in this section summarizes the 33 supported locales for pronunciation assessment. Each language is available in all speech-to-text regions. The latest update extends support from English to 32 more languages and quality enhancements to existing features, including accuracy, fluency, and miscue assessment. You should specify the language that you're learning or practicing improving pronunciation. The default language is en-US.

If you know your target learning language, set the locale accordingly. For example, if you're learning British English, you should specify the language as en-GB. If you're teaching a broader language, such as Spanish, and you're uncertain about which locale to select, you can run various accent models (es-ES, es-MX) to determine the one that achieves the highest score to suit your specific scenario.

If you're interested in languages not listed in the following table, fill out this intake form for further assistance.

Language	Locale (BCP-47)
Arabic (Egypt)	ar-EG
Arabic (Saudi Arabia)	ar-SA
Catalan	ca-ES
Chinese (Cantonese, Traditional)	zh-HK
Chinese (Mandarin, Simplified)	zh-CN
Chinese (Taiwanese Mandarin, Traditional)	zh-TW
Danish (Denmark)	da-DK
Dutch (Netherlands)	nl-NL
English (Australia)	en-AU
English (Canada)	en-CA
English (India)	en-IN
English (United Kingdom)	en-GB
English (United States)	en-US
Finnish (Finland)	fi-FI
French (Canada)	fr-CA
French (France)	fr-FR
German (Germany)	de-DE
Hindi (India)	hi-IN
Italian (Italy)	it-IT
Japanese (Japan)	ja-JP
Korean (Korea)	ko-KR
Malay (Malaysia)	ms-MY
Norwegian Bokmål (Norway)	nb-NO
Polish (Poland)	pl-PL
Portuguese (Brazil)	pt-BR
Portuguese (Portugal)	pt-PT
Russian (Russia)	ru-RU
Spanish (Mexico)	es-MX
Spanish (Spain)	es-ES
Swedish (Sweden)	sv-SE
Tamil (India)	ta-IN
Thai (Thailand)	th-TH
Vietnamese (Vietnam)	vi-VN

Speech translation

Tip

To build and run samples on Visual Studio Code, try the Azure Speech Toolkit.

Real-time speech translation

The table in this section summarizes the supported locales for speech translation. Speech translation supports various languages for speech-to-speech and speech-to-text translation. The available target languages depend on whether the translation target is speech or text.

Text language	Language code
Afrikaans	af
Albanian	sq
Amharic	am
Arabic	ar
Armenian	hy
Assamese	as
Azerbaijani	az
Bangla	bn
Bosnian (Latin)	bs
Bulgarian	bg
Cantonese (Traditional)	yue
Catalan	ca
Chinese (Literary)	lzh
Chinese Simplified	zh-Hans
Chinese Traditional	zh-Hant
Croatian	hr
Czech	cs
Danish	da
Dari	prs
Dutch	nl
English	en
Estonian	et
Fijian	fj
Filipino	fil
Finnish	fi
French	fr
French (Canada)	fr-ca
German	de
Greek	el
Gujarati	gu
Haitian Creole	ht
Hebrew	he
Hindi	hi
Hmong Daw	mww
Hungarian	hu
Icelandic	is
Indonesian	id
Inuktitut	iu
Irish	ga
Italian	it
Japanese	ja
Kannada	kn
Kazakh	kk
Khmer	km
Klingon	tlh-Latn
Klingon (plqaD)	tlh-Piqd
Korean	ko
Kurdish (Central)	ku
Kurdish (Northern)	kmr
Lao	lo
Latvian	lv
Lithuanian	lt
Malagasy	mg
Malay	ms
Malayalam	ml
Maltese	mt
Maori	mi
Marathi	mr
Myanmar	my
Nepali	ne
Norwegian	nb
Odia	or
Pashto	ps
Persian	fa
Polish	pl
Portuguese (Brazil)	pt
Portuguese (Portugal)	pt-pt
Punjabi	pa
Queretaro Otomi	otq
Romanian	ro
Russian	ru
Samoan	sm
Serbian (Cyrillic)	sr-Cyrl
Serbian (Latin)	sr-Latn
Slovak	sk
Slovenian	sl
Spanish	es
Swahili	sw
Swedish	sv
Tahitian	ty
Tamil	ta
Telugu	te
Thai	th
Tigrinya	ti
Tongan	to
Turkish	tr
Ukrainian	uk
Urdu	ur
Vietnamese	vi
Welsh	cy
Yucatec Maya	yua

Translate-from language

To set the language for input speech recognition, specify the full locale with a dash (-) separator. See the speech-to-text language table. All languages are supported, except jv-ID and wuu-CN. The default language is en-US if you don't specify a language.

Translate-to-text language

To set the translation target language, you usually specify only the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. The default language is en if you don't specify a language.

Video translation

The table in this section summarizes the supported locales for video translation. Video translation supports various languages for standard (platform) voice and personal voice. The available source and target languages depend on whether the translation source is standard or personal voice.

Locale (BCP-47)	Language	Standard voice source	Standard voice target	Personal voice source	Personal voice target	TTS custom lexicon phoneme target
af-ZA	Afrikaans (South Africa)	Yes	Yes	Yes	No	No
am-ET	Amharic (Ethiopia)	Yes	Yes	Yes	Yes	No
ar-AE	Arabic (United Arab Emirates)	Yes	Yes	Yes	No	No
ar-BH	Arabic (Bahrain)	Yes	Yes	Yes	No	Yes
ar-DZ	Arabic (Algeria)	Yes	Yes	Yes	No	Yes
ar-EG	Arabic (Egypt)	Yes	Yes	Yes	Yes	Yes
ar-IQ	Arabic (Iraq)	Yes	Yes	Yes	No	Yes
ar-JO	Arabic (Jordan)	Yes	Yes	Yes	No	Yes
ar-KW	Arabic (Kuwait)	Yes	Yes	Yes	No	Yes
ar-LB	Arabic (Lebanon)	Yes	Yes	Yes	No	Yes
ar-LY	Arabic (Libya)	Yes	Yes	Yes	No	Yes
ar-MA	Arabic (Morocco)	Yes	Yes	Yes	No	Yes
ar-OM	Arabic (Oman)	Yes	Yes	Yes	No	Yes
ar-QA	Arabic (Qatar)	Yes	Yes	Yes	No	Yes
ar-SA	Arabic (Saudi Arabia)	Yes	Yes	Yes	Yes	Yes
ar-SY	Arabic (Syria)	Yes	Yes	Yes	No	Yes
ar-TN	Arabic (Tunisia)	Yes	Yes	Yes	No	Yes
ar-YE	Arabic (Yemen)	Yes	Yes	Yes	No	Yes
as-IN	Assamese (India)	No	Yes	No	No	No
az-AZ	Azerbaijani (Latin, Azerbaijan)	Yes	Yes	Yes	No	No
bg-BG	Bulgarian (Bulgaria)	Yes	Yes	Yes	Yes	Yes
bn-BD	Bangla (Bangladesh)	No	Yes	No	No	No
bn-IN	Bengali (India)	Yes	Yes	Yes	Yes	No
bs-BA	Bosnian (Bosnia and Herzegovina)	Yes	Yes	Yes	Yes	No
ca-ES	Catalan	Yes	Yes	Yes	Yes	Yes
cs-CZ	Czech (Czechia)	Yes	Yes	Yes	Yes	Yes
cy-GB	Welsh (United Kingdom)	Yes	Yes	Yes	No	No
da-DK	Danish (Denmark)	Yes	Yes	Yes	Yes	Yes
de-AT	German (Austria)	Yes	Yes	Yes	Yes	Yes
de-CH	German (Switzerland)	Yes	Yes	Yes	Yes	Yes
de-DE	German (Germany)	Yes	Yes	Yes	Yes	Yes
el-GR	Greek (Greece)	Yes	Yes	Yes	Yes	Yes
en-AU	English (Australia)	Yes	Yes	Yes	Yes	Yes
en-CA	English (Canada)	Yes	Yes	Yes	Yes	Yes
en-GB	English (United Kingdom)	Yes	Yes	Yes	Yes	Yes
en-HK	English (Hong Kong SAR)	Yes	Yes	Yes	No	Yes
en-IE	English (Ireland)	Yes	Yes	Yes	Yes	Yes
en-IN	English (India)	Yes	Yes	Yes	Yes	Yes
en-KE	English (Kenya)	Yes	Yes	Yes	No	Yes
en-NG	English (Nigeria)	Yes	Yes	Yes	No	Yes
en-NZ	English (New Zealand)	Yes	Yes	Yes	No	Yes
en-PH	English (Philippines)	Yes	Yes	Yes	No	Yes
en-SG	English (Singapore)	Yes	Yes	Yes	No	Yes
en-TZ	English (Tanzania)	Yes	Yes	Yes	No	Yes
en-US	English (United States)	Yes	Yes	Yes	Yes	Yes
en-ZA	English (South Africa)	Yes	Yes	Yes	No	Yes
es-AR	Spanish (Argentina)	Yes	Yes	Yes	No	Yes
es-BO	Spanish (Bolivia)	Yes	Yes	Yes	No	Yes
es-CL	Spanish (Chile)	Yes	Yes	Yes	No	Yes
es-CO	Spanish (Colombia)	Yes	Yes	Yes	No	Yes
es-CR	Spanish (Costa Rica)	Yes	Yes	Yes	No	Yes
es-CU	Spanish (Cuba)	Yes	Yes	Yes	No	Yes
es-DO	Spanish (Dominican Republic)	Yes	Yes	Yes	No	Yes
es-EC	Spanish (Ecuador)	Yes	Yes	Yes	No	Yes
es-ES	Spanish (Spain)	Yes	Yes	Yes	Yes	Yes
es-GQ	Spanish (Equatorial Guinea)	Yes	Yes	Yes	No	Yes
es-GT	Spanish (Guatemala)	Yes	Yes	Yes	No	Yes
es-HN	Spanish (Honduras)	Yes	Yes	Yes	No	Yes
es-MX	Spanish (Mexico)	Yes	Yes	Yes	Yes	Yes
es-NI	Spanish (Nicaragua)	Yes	Yes	Yes	No	Yes
es-PA	Spanish (Panama)	Yes	Yes	Yes	No	Yes
es-PE	Spanish (Peru)	Yes	Yes	Yes	No	Yes
es-PR	Spanish (Puerto Rico)	Yes	Yes	Yes	No	Yes
es-PY	Spanish (Paraguay)	Yes	Yes	Yes	No	Yes
es-SV	Spanish (El Salvador)	Yes	Yes	Yes	No	Yes
es-US	Spanish (United States)	Yes	Yes	Yes	No	Yes
es-UY	Spanish (Uruguay)	Yes	Yes	Yes	No	Yes
es-VE	Spanish (Venezuela)	Yes	Yes	Yes	No	Yes
et-EE	Estonian (Estonia)	Yes	Yes	Yes	Yes	No
eu-ES	Basque	Yes	Yes	Yes	Yes	No
fa-IR	Persian (Iran)	Yes	Yes	Yes	No	No
fi-FI	Finnish (Finland)	Yes	Yes	Yes	Yes	Yes
fil-PH	Filipino (Philippines)	Yes	Yes	Yes	Yes	No
fr-BE	French (Belgium)	Yes	Yes	Yes	Yes	Yes
fr-CA	French (Canada)	Yes	Yes	Yes	Yes	Yes
fr-CH	French (Switzerland)	Yes	Yes	Yes	Yes	Yes
fr-FR	French (France)	Yes	Yes	Yes	Yes	Yes
ga-IE	Irish (Ireland)	Yes	Yes	Yes	No	No
gl-ES	Galician	Yes	Yes	Yes	Yes	No
gu-IN	Gujarati (India)	Yes	Yes	Yes	No	No
he-IL	Hebrew (Israel)	Yes	Yes	Yes	Yes	Yes
hi-IN	Hindi (India)	Yes	Yes	Yes	Yes	Yes
hr-HR	Croatian (Croatia)	Yes	Yes	Yes	Yes	Yes
hu-HU	Hungarian (Hungary)	Yes	Yes	Yes	Yes	Yes
hy-AM	Armenian (Armenia)	Yes	Yes	Yes	No	No
id-ID	Indonesian (Indonesia)	Yes	Yes	Yes	Yes	Yes
is-IS	Icelandic (Iceland)	Yes	Yes	Yes	No	No
it-IT	Italian (Italy)	Yes	Yes	Yes	Yes	Yes
iu-CANS-CA	Inuktitut (Syllabics, Canada)	No	No	No	No	No
iu-LATN-CA	Inuktitut (Latin, Canada)	No	No	No	No	No
ja-JP	Japanese (Japan)	Yes	Yes	Yes	Yes	Yes
jv-ID	Javanese (Latin, Indonesia)	Yes	Yes	Yes	Yes	No
ka-GE	Georgian (Georgia)	Yes	Yes	Yes	No	No
kk-KZ	Kazakh (Kazakhstan)	Yes	Yes	Yes	No	No
km-KH	Khmer (Cambodia)	Yes	Yes	Yes	No	No
kn-IN	Kannada (India)	Yes	Yes	Yes	No	No
ko-KR	Korean (Korea)	Yes	Yes	Yes	Yes	Yes
lo-LA	Lao (Laos)	Yes	Yes	Yes	No	No
lt-LT	Lithuanian (Lithuania)	Yes	Yes	Yes	No	No
lv-LV	Latvian (Latvia)	Yes	Yes	Yes	No	No
mk-MK	Macedonian (North Macedonia)	Yes	Yes	Yes	Yes	No
ml-IN	Malayalam (India)	Yes	Yes	Yes	No	No
mn-MN	Mongolian (Mongolia)	Yes	Yes	Yes	No	No
mr-IN	Marathi (India)	Yes	Yes	Yes	No	No
ms-MY	Malay (Malaysia)	Yes	Yes	Yes	Yes	Yes
mt-MT	Maltese (Malta)	Yes	Yes	Yes	No	No
my-MM	Burmese (Myanmar)	Yes	Yes	Yes	No	No
nb-NO	Norwegian Bokmål (Norway)	Yes	Yes	Yes	Yes	Yes
ne-NP	Nepali (Nepal)	Yes	Yes	Yes	Yes	No
nl-BE	Dutch (Belgium)	Yes	Yes	Yes	Yes	Yes
nl-NL	Dutch (Netherlands)	Yes	Yes	Yes	Yes	Yes
or-IN	Odia (India)	No	Yes	No	No	No
pa-IN	Punjabi (India)	No	Yes	No	No	No
pl-PL	Polish (Poland)	Yes	Yes	Yes	Yes	Yes
ps-AF	Pashto (Afghanistan)	Yes	Yes	Yes	Yes	No
pt-BR	Portuguese (Brazil)	Yes	Yes	Yes	Yes	Yes
pt-PT	Portuguese (Portugal)	Yes	Yes	Yes	Yes	Yes
ro-RO	Romanian (Romania)	Yes	Yes	Yes	Yes	Yes
ru-RU	Russian (Russia)	Yes	Yes	Yes	Yes	Yes
si-LK	Sinhala (Sri Lanka)	Yes	Yes	Yes	No	No
sk-SK	Slovak (Slovakia)	Yes	Yes	Yes	Yes	Yes
sl-SI	Slovenian (Slovenia)	Yes	Yes	Yes	Yes	Yes
so-SO	Somali (Somalia)	Yes	Yes	Yes	No	No
sq-AL	Albanian (Albania)	Yes	Yes	Yes	No	No
sr-LATN-RS	Serbian (Latin, Serbia)	No	No	No	No	No
sr-RS	Serbian (Cyrillic, Serbia)	Yes	Yes	Yes	No	No
su-ID	Sundanese (Indonesia)	Yes	Yes	Yes	No	No
sv-SE	Swedish (Sweden)	Yes	Yes	Yes	Yes	Yes
sw-KE	Kiswahili (Kenya)	Yes	Yes	Yes	Yes	No
sw-TZ	Kiswahili (Tanzania)	Yes	Yes	Yes	No	No
ta-IN	Tamil (India)	Yes	Yes	Yes	Yes	Yes
ta-LK	Tamil (Sri Lanka)	No	Yes	No	No	Yes
ta-MY	Tamil (Malaysia)	No	Yes	No	No	Yes
ta-SG	Tamil (Singapore)	No	Yes	No	No	Yes
te-IN	Telugu (India)	Yes	Yes	Yes	Yes	Yes
th-TH	Thai (Thailand)	Yes	Yes	Yes	Yes	Yes
tr-TR	Turkish (Türkiye)	Yes	Yes	Yes	Yes	Yes
uk-UA	Ukrainian (Ukraine)	Yes	Yes	Yes	Yes	No
ur-IN	Urdu (India)	No	Yes	No	No	No
ur-PK	Urdu (Pakistan)	No	Yes	No	No	No
uz-UZ	Uzbek (Latin, Uzbekistan)	Yes	Yes	Yes	No	No
vi-VN	Vietnamese (Vietnam)	Yes	Yes	Yes	Yes	Yes
wuu-CN	Chinese (Wu, Simplified)	No	No	No	No	No
yue-CN	Chinese (Cantonese, Simplified)	Yes	Yes	Yes	No	No
zh-CN	Chinese (Mandarin, Simplified)	Yes	Yes	Yes	Yes	Yes
zh-CN-GUANGXI	Chinese (Guangxi Accent Mandarin, Simplified)	Yes	Yes	Yes	No	No
zh-CN-henan	Chinese (Zhongyuan Mandarin Henan, Simplified)	No	No	No	No	No
zh-CN-liaoning	Chinese (Northeastern Mandarin, Simplified)	No	No	No	No	No
zh-CN-shaanxi	Chinese (Zhongyuan Mandarin Shaanxi, Simplified)	No	No	No	No	No
zh-CN-shandong	Chinese (Jilu Mandarin, Simplified)	No	No	No	No	No
zh-CN-sichuan	Chinese (Southwestern Mandarin, Simplified)	No	No	No	No	No
zh-HK	Chinese (Cantonese, Traditional)	Yes	Yes	Yes	Yes	Yes
zh-TW	Chinese (Taiwanese Mandarin, Traditional)	Yes	Yes	Yes	Yes	Yes
zu-ZA	isiZulu (South Africa)	Yes	Yes	Yes	Yes	No

Language identification

The table in this section summarizes the supported locales for language identification.

Important

Language Identification compares speech at the language level, such as English and German. Don't include multiple locales of the same language in your candidate list.

Language	Locales (BCP-47)
Afrikaans	af-ZA
Albanian	sq-AL
Amharic	am-ET
Arabic	ar-AE ar-BH ar-DZ ar-EG ar-IL ar-IQ ar-JO ar-KW ar-LB ar-LY ar-MA ar-OM ar-PS ar-QA ar-SA ar-SY ar-TN ar-YE
Armenian	hy-AM
Assamese	as-IN
Azerbaijani	az-AZ
Basque	eu-ES
Bengali	bn-IN
Bosnian	bs-BA
Bulgarian	bg-BG
Burmese	my-MM
Catalan	ca-ES
Chinese	wuu-CN yue-CN zh-CN zh-CN-shandong zh-CN-sichuan zh-HK zh-TW
Croatian	hr-HR
Czech	cs-CZ
Danish	da-DK
Dutch	nl-BE nl-NL
English	en-AU en-CA en-GB en-GH en-HK en-IE en-IN en-KE en-NG en-NZ en-PH en-SG en-TZ en-US en-ZA
Estonian	et-EE
Filipino	fil-PH
Finnish	fi-FI
French	fr-BE fr-CA fr-CH fr-FR
Galician	gl-ES
Georgian	ka-GE
German	de-AT de-CH de-DE
Greek	el-GR
Gujarati	gu-IN
Hebrew	he-IL
Hindi	hi-IN
Hungarian	hu-HU
Icelandic	is-IS
Indonesian	id-ID
Irish	ga-IE
isiZulu	zu-ZA
Italian	it-CH it-IT
Japanese	ja-JP
Javanese	jv-ID
Kannada	kn-IN
Kazakh	kk-KZ
Khmer	km-KH
Kiswahili	sw-KE sw-TZ
Korean	ko-KR
Lao	lo-LA
Latvian	lv-LV
Lithuanian	lt-LT
Macedonian	mk-MK
Malay	ml-IN ms-MY
Malayalam	ml-IN
Maltese	mt-MT
Marathi	mr-IN
Mongolian	mn-MN
Nepali	ne-NP
Norwegian Bokmål	nb-NO
Odia	or-IN
Pashto	ps-AF
Persian	fa-IR
Polish	pl-PL
Portuguese	pt-BR pt-PT
Punjabi	pa-IN
Romanian	ro-RO
Russian	ru-RU
Serbian	sr-ME sr-RS sr-XK
Sinhala	si-LK
Slovak	sk-SK
Slovenian	sl-SI
Somali	so-SO
Spanish	es-AR es-BO es-CL es-CO es-CR es-CU es-DO es-EC es-ES es-GQ es-GT es-HN es-MX es-NI es-PA es-PE es-PR es-PY es-SV es-US es-UY es-VE
Swedish	sv-SE
Tamil	ta-IN
Telugu	te-IN
Thai	th-TH
Turkish	tr-TR
Ukrainian	uk-UA
Urdu	ur-IN
Uzbek	uz-UZ
Vietnamese	vi-VN
Welsh	cy-GB

Custom keyword

The following table summarizes the supported locales for custom keyword and keyword verification.

Language	Locale (BCP-47)	Custom keyword	Keyword verification
Chinese (Mandarin, Simplified)	zh-CN	Yes	Yes
English (United States)	en-US	Yes	Yes
Japanese (Japan)	ja-JP	No	Yes
Portuguese (Brazil)	pt-BR	No	Yes

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• Region support