Language and voice support for the Speech service

The following tables summarize language support for speech to text, text to speech, pronunciation assessment, speech translation, speaker recognition, and more service features.

You can also get a list of locales and voices supported for each specific region or endpoint via:

• 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 Speech service functionality.

Note

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

Choose a Speech feature

Speech to text

The table in this section summarizes the locales supported for speech to text. For details, see the table footnotes.

More remarks for speech to text locales are included in the custom speech section of this article.

Tip

Try out the real-time speech to text tool without having to use any code.

Tip

Try out the Azure AI Speech Toolkit to easily build and run samples on Visual Studio Code.

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

¹ The model is bilingual and also supports English.

Custom speech

To improve speech to text recognition accuracy, customization is available for some languages and base models. Depending on the locale, you can upload audio + human-labeled transcripts, plain text, structured text, and pronunciation data. By default, plain text customization is supported for all available base models. To learn more about customization, see custom speech.

These are the locales that 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.

Text to speech

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

More remarks for text to speech locales are included in the voice styles and roles, prebuilt neural voices, Custom neural voice, and personal voice sections in this article.

Tip

Check the Voice Gallery and determine the right voice for your business needs.

Tip

Try out the Azure AI Speech Toolkit to easily build and run samples on Visual Studio Code.

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-KatjaNeural (Female) de-DE-ConradNeural (Male) de-DE-AmalaNeural (Female) de-DE-BerndNeural (Male) de-DE-ChristophNeural (Male) de-DE-ElkeNeural (Female) de-DE-FlorianMultilingualNeural4 (Male) 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-SeraphinaMultilingualNeural4 (Female) de-DE-TanjaNeural (Female)
el-GR	Greek (Greece)	el-GR-AthinaNeural (Female) el-GR-NestorasNeural (Male)
en-AU	English (Australia)	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-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-GB-AdaMultilingualNeural1,4 (Female) en-GB-OllieMultilingualNeural1,4 (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-AaravNeural (Male) en-IN-AashiNeural (Female) 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-AvaMultilingualNeural4 (Female) en-US-AndrewMultilingualNeural4 (Male) en-US-EmmaMultilingualNeural4 (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-SaraNeural (Female) en-US-TonyNeural (Male) en-US-NancyNeural (Female) 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-ElizabethNeural (Female) en-US-EricNeural (Male) en-US-JacobNeural (Male) en-US-JennyMultilingualNeural4 (Female) en-US-MichelleNeural (Female) en-US-MonicaNeural (Female) en-US-RogerNeural (Male) en-US-RyanMultilingualNeural4 (Male) en-US-SteffanNeural (Male) en-US-AdamMultilingualNeural1,4 (Male) en-US-AIGenerate1Neural1 (Male) en-US-AIGenerate2Neural1 (Female) en-US-AlloyTurboMultilingualNeural1,4 (Male) en-US-AmandaMultilingualNeural1,4 (Female) en-US-BlueNeural1 (Neutral) en-US-BrandonMultilingualNeural1,4 (Male) en-US-ChristopherMultilingualNeural1,4 (Male) en-US-CoraMultilingualNeural1,4 (Female) en-US-DavisMultilingualNeural1,4 (Male) en-US-DerekMultilingualNeural1,4 (Male) en-US-DustinMultilingualNeural1,4 (Male) en-US-EchoTurboMultilingualNeural1,4 (Male) en-US-EvelynMultilingualNeural1,4 (Female) en-US-FableTurboMultilingualNeural1,4 (Neutral) en-US-KaiNeural1 (Male) en-US-LewisMultilingualNeural1,4 (Male) en-US-LolaMultilingualNeural1,4 (Female) en-US-LunaNeural1 (Female) en-US-NancyMultilingualNeural1,4 (Female) en-US-NovaTurboMultilingualNeural1,4 (Female) en-US-OnyxTurboMultilingualNeural1,4 (Male) en-US-PhoebeMultilingualNeural1,4 (Female) en-US-SamuelMultilingualNeural1,4 (Male) en-US-SerenaMultilingualNeural1,4 (Female) en-US-ShimmerTurboMultilingualNeural1,4 (Female) en-US-SteffanMultilingualNeural1,4 (Male) en-US-AlloyMultilingualNeural5 (Male) en-US-EchoMultilingualNeural5 (Male) en-US-FableMultilingualNeural5 (Neutral) en-US-OnyxMultilingualNeural5 (Male) en-US-NovaMultilingualNeural5 (Female) en-US-ShimmerMultilingualNeural5 (Female) en-US-AlloyMultilingualNeuralHD5 (Male) en-US-EchoMultilingualNeuralHD5 (Male) en-US-FableMultilingualNeuralHD5 (Neutral) en-US-OnyxMultilingualNeuralHD5 (Male) en-US-NovaMultilingualNeuralHD5 (Female) en-US-ShimmerMultilingualNeuralHD5 (Female)
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-ElviraNeural (Female) es-ES-AlvaroNeural (Male) 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-ES-ArabellaMultilingualNeural1,4 (Female) es-ES-IsidoraMultilingualNeural1,4 (Female) es-ES-TristanMultilingualNeural1,4 (Male) es-ES-XimenaMultilingualNeural1,4 (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-DaliaNeural (Female) es-MX-JorgeNeural (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) 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-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-DeniseNeural (Female) fr-FR-HenriNeural (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-RemyMultilingualNeural4 (Male) fr-FR-VivienneMultilingualNeural4 (Female) fr-FR-YvesNeural (Male) fr-FR-YvetteNeural (Female) fr-FR-LucienMultilingualNeural1,4 (Male)
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-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-ElsaNeural (Female) it-IT-IsabellaNeural (Female) it-IT-DiegoNeural (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) it-IT-RinaldoNeural (Male) it-IT-AlessioMultilingualNeural1,4 (Male) it-IT-GiuseppeMultilingualNeural1,4 (Male) it-IT-IsabellaMultilingualNeural1,4 (Female) it-IT-MarcelloMultilingualNeural1,4 (Male)
iu-CANS-CA	Inuktitut (Syllabics, Canada)	iu-Cans-CA-SiqiniqNeural1,3 (Female) iu-Cans-CA-TaqqiqNeural1,3 (Male)
iu-LATN-CA	Inuktitut (Latin, Canada)	iu-Latn-CA-SiqiniqNeural1,3 (Female) iu-Latn-CA-TaqqiqNeural1,3 (Male)
ja-JP	Japanese (Japan)	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-SunHiNeural (Female) ko-KR-InJoonNeural (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) ko-KR-HyunsuMultilingualNeural1,4 (Male)
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	Oriya (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-FranciscaNeural (Female) pt-BR-AntonioNeural (Male) 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) pt-BR-ManuelaNeural (Female) pt-BR-NicolauNeural (Male) pt-BR-ThalitaNeural (Female) pt-BR-ValerioNeural (Male) pt-BR-YaraNeural (Female) pt-BR-MacerioMultilingualNeural1,4 (Male) pt-BR-ThalitaMultilingualNeural1,4 (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-XiaoxiaoNeural (Female) zh-CN-YunxiNeural (Male) zh-CN-YunjianNeural (Male) zh-CN-XiaoyiNeural (Female) zh-CN-YunyangNeural (Male) zh-CN-XiaochenNeural (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-XiaoshuangNeural (Female, Child) zh-CN-XiaoxiaoDialectsNeural (Female) zh-CN-XiaoxiaoMultilingualNeural4 (Female) zh-CN-XiaoyanNeural (Female) zh-CN-XiaoyouNeural (Female, Child) zh-CN-XiaoyuMultilingualNeural4 (Female) zh-CN-XiaozhenNeural (Female) zh-CN-YunfengNeural (Male) zh-CN-YunhaoNeural (Male) zh-CN-YunjieNeural (Male) zh-CN-YunxiaNeural (Male) zh-CN-YunyeNeural (Male) zh-CN-YunyiMultilingualNeural4 (Male) zh-CN-YunzeNeural (Male) zh-CN-YunfanMultilingualNeural1,4 (Male) zh-CN-YunxiaoMultilingualNeural1,4 (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 public preview. Voices and styles in public preview are only available in these service regions: East US, Southeast Asia, and West Europe.

² The neural voice is available in public preview in these service regions: Central India, East Asia, East US, Southeast Asia, and West US.

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

⁴ The neural voice is a multilingual voice in Azure AI Speech. Turbo version of Azure OpenAI voices has the similar voice persona as 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 AI Speech voices.

⁵ The OpenAI text to speech voices in Azure AI Speech are in public preview and only available 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 AI Speech text to speech voices, see OpenAI text to speech voices.

Multilingual voices

Multilingual voices can support more languages. This expansion enhances your ability to express content in various languages, to overcome language barriers and foster a more inclusive global communication environment.

Use this table to understand all supported speaking languages for each multilingual neural voice. If the voice doesn’t speak the language of the input text, the Speech service doesn’t output synthesized audio. The table is sorted by the number of supported languages in descending order. The primary locale for each voice is indicated by the prefix in its name, such as the voice en-US-AndrewMultilingualNeural, its primary locale is en-US.

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)	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 (Spain) (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 (Spain) (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)

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

² The neural voice is a multilingual voice in Azure AI Speech. Turbo version of Azure OpenAI voices has the similar voice persona as 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 AI 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 adjust the speaking accent of each language to set preferred accent such as British accent (en-GB) for English.

³ The OpenAI text to speech voices in Azure AI Speech are in public preview and only available 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 AI Speech text to speech voices, see OpenAI text to speech voices.

Voice styles and roles

In some cases, you can adjust the speaking style to express different emotions like cheerfulness, empathy, and calm. All prebuilt voices with speaking styles and multi-style custom voices support style degree adjustment. You can optimize the voice for different 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 neural voice styles and roles, see Speech Synthesis Markup Language.

Use the following table to determine supported styles and roles for each neural 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-DavisNeural	angry, chat, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	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-KaiNeural1	conversation	Not supported
en-US-LunaNeural1	conversation	Not supported
en-US-NancyNeural	angry, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	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-XiaoshuangNeural	chat	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-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-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-YunzeNeural	angry, calm, cheerful, depressed, disgruntled, documentary-narration, fearful, sad, serious	OlderAdultMale, SeniorMale

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

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

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

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

Viseme

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-TW	Chinese (Taiwanese Mandarin, Traditional)	Viseme ID

Prebuilt neural voices

Each prebuilt neural 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 Prebuilt Neural Voice (see Neural on the pricing page) and custom neural voice (see Custom Neural on the pricing page). For more information, see the Pricing page.

Each prebuilt neural voice model is available at 24kHz and high-fidelity 48kHz. Other sample rates can be obtained through upsampling or downsampling when synthesizing.

Note that the following neural voices are retired.

• The English (United Kingdom) voice en-GB-MiaNeural is retired on October 30, 2021. All service requests to en-GB-MiaNeural will be redirected to en-GB-SoniaNeural automatically as of October 30, 2021. If you're using containers for text to speech, download and deploy the latest version. All requests with previous versions don't succeed starting from October 30, 2021.
• The en-US-JessaNeural voice is retired and replaced by en-US-AriaNeural. If you were using "Jessa" before, convert to "Aria."
• The Chinese (Mandarin, Simplified) voice zh-CN-XiaoxuanNeural is retired on February 29, 2024. All service requests to zh-CN-XiaoxuanNeural will be redirected to zh-CN-XiaoyiNeural automatically as of February 29, 2024. If you're using containers for text to speech, download and deploy the latest version. All requests with previous versions won't succeed starting from February 29, 2024.

Custom neural voice

Custom neural voice lets you 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 neural voices support style degree adjustment. There are two custom neural voice (CNV) project types: CNV Pro and CNV Lite (preview).

Select the right locale that matches your training data to train a custom neural voice model. For example, if the recording data is spoken in English with a British accent, select en-GB.

With the cross-lingual feature, you can transfer your custom neural 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: one includes source languages that support the cross-lingual feature, and the other tier comprises locales designated as target languages for cross-lingual transfer. Within the following table, distinguish locales that function as both cross-lingual sources and targets and locales eligible solely as the target locale for cross-lingual transfer.

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

Personal voice

Personal voice is a feature that lets you create a voice that sounds like you or your users. The following table summarizes the locales supported 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)

Pronunciation assessment

The table in this section summarizes the 33 locales supported for pronunciation assessment, and each language is available on all speech to text regions. 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 set as 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 are 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

Try out the Azure AI Speech Toolkit to easily build and run samples on Visual Studio Code.

Real-time speech translation

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

Translate from language

To set the input speech recognition language, 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, with few exceptions you only specify the language code that precedes the locale dash (-) separator. For example, use es for Spanish (Spain) instead of es-ES. See the speech translation target language table below. The default language is en if you don't specify a language.

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

Video translation

The following table illustrates the fixed mapping relationship between source and target locales, along with the full locales associated with each language.

Source language	Source locale	Target language	Target locale
Chinese (Mandarin, Simplified)	zh-CN	English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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
English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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	Chinese (Mandarin, Simplified)	zh-CN
English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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	German (Austria) German (Switzerland) German (Germany)	de-AT de-CH de-DE
English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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	Hindi (India)	hi-IN
English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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	Italian (Switzerland) Italian (Italy)	it-CH it-IT
English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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	Russian (Russia)	ru-RU
English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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	Spanish (Argentina) Spanish (Bolivia) Spanish (Chile) Spanish (Colombia) Spanish (Costa Rica) Spanish (Cuba) Spanish (Dominican Republic) Spanish (Ecuador) Spanish (Spain) Spanish (Equatorial Guinea) Spanish (Guatemala) Spanish (Honduras) Spanish (Mexico) Spanish (Nicaragua) Spanish (Panama) Spanish (Peru) Spanish (Puerto Rico) Spanish (Paraguay) Spanish (El Salvador) Spanish (United States) Spanish (Uruguay) Spanish (Venezuela)	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
Hindi (India)	hi-IN	English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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
Korean (Korea)	ko-KR	English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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
Spanish (Argentina) Spanish (Bolivia) Spanish (Chile) Spanish (Colombia) Spanish (Costa Rica) Spanish (Cuba) Spanish (Dominican Republic) Spanish (Ecuador) Spanish (Spain) Spanish (Equatorial Guinea) Spanish (Guatemala) Spanish (Honduras) Spanish (Mexico) Spanish (Nicaragua) Spanish (Panama) Spanish (Peru) Spanish (Puerto Rico) Spanish (Paraguay) Spanish (El Salvador) Spanish (United States) Spanish (Uruguay) Spanish (Venezuela)	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	English (Australia) English (Canada) English (United Kingdom) English (Ghana) English (Hong Kong SAR) English (Ireland) English (India) English (Kenya) English (Nigeria) English (New Zealand) English (Philippines) English (Singapore) English (Tanzania) English (United States) English (South Africa)	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

Language identification

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

Note

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

Language	Locales (BCP-47)
Arabic	ar-AE ar-BH ar-DZ ar-EG ar-IQ ar-JO ar-KW ar-LY ar-MA ar-OM ar-QA ar-SA ar-SY ar-YE
Bengali	bn-IN
Bulgarian	bg-BG
Catalan	ca-ES
Chinese	zh-CN zh-HK zh-TW
Croatian	hr-HR
Czech	cs-CZ
Danish	da-DK
Dutch	nl-NL
English	en-AU en-CA en-GH en-HK en-IN en-IE en-KE en-NZ en-NG en-PH en-SG en-ZA en-TZ en-GB en-US
Estonian	et-EE
Finnish	fi-FI
French	fr-CA fr-FR
German	de-DE
Greek	el-GR
Gujarati	gu-IN
Hebrew	he-IL
Hindi	hi-IN
Hungarian	hu-HU
Indonesian	id-ID
Irish	ga-IE
Italian	it-IT
Japanese	ja-JP
Kannada	kn-IN
Malayalam	ml-IN
Korean	ko-KR
Latvian	lv-LV
Lithuanian	lt-LT
Maltese	mt-MT
Marathi	mr-IN
Norwegian	nb-NO
Polish	pl-PL
Portuguese	pt-BR pt-PT
Romanian	ro-RO
Russian	ru-RU
Slovak	sk-SK
Slovenian	sl-SI
Spanish	es-AR es-BO es-CL es-CO es-CR es-CU es-DO es-EC es-SV es-GQ es-GT es-HN es-MX es-NI es-PA es-PY es-PE es-PR es-ES es-UY es-US es-VE
Swedish	sv-SE
Tamil	ta-IN
Telugu	te-IN
Thai	th-TH
Turkish	tr-TR
Ukrainian	uk-UA
Vietnamese	vi-VN

Speaker recognition

The table in this section summarizes the locales supported for Speaker recognition. Speaker recognition is mostly language agnostic. The universal model for text-independent speaker recognition combines various data sources from multiple languages. We tuned and evaluated the model on these languages and locales. For more information on speaker recognition, see the overview.

Language	Locale (BCP-47)	Text-dependent verification	Text-independent verification	Text-independent identification
English (US)	en-US	Yes	Yes	Yes
Chinese (Mandarin, simplified)	zh-CN	n/a	Yes	Yes
English (Australia)	en-AU	n/a	Yes	Yes
English (Canada)	en-CA	n/a	Yes	Yes
English (India)	en-IN	n/a	Yes	Yes
English (UK)	en-GB	n/a	Yes	Yes
French (Canada)	fr-CA	n/a	Yes	Yes
French (France)	fr-FR	n/a	Yes	Yes
German (Germany)	de-DE	n/a	Yes	Yes
Italian	it-IT	n/a	Yes	Yes
Japanese	ja-JP	n/a	Yes	Yes
Portuguese (Brazil)	pt-BR	n/a	Yes	Yes
Spanish (Mexico)	es-MX	n/a	Yes	Yes
Spanish (Spain)	es-ES	n/a	Yes	Yes

Custom keyword

The table in this section summarizes the locales supported 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

Intent Recognition

The table in this section summarizes the locales supported for the Intent Recognizer Pattern Matcher.

Locale	Locale (BCP-47)
German (Austria)	de-AT
German (Switzerland)	de-CH
German (Germany)	de-DE
English (Australia)	en-AU
English (Canada)	en-CA
English (United Kingdom)	en-GB
English (Ghana)	en-GH
English (Hongkong)	en-HK
English (Ireland)	en-IE
English (India)	en-IN
English (Kenya)	en-KE
English (Nigeria)	en-NG
English (New Zealand)	en-NZ
English (Philippines)	en-PH
English (Singapore)	en-SG
English (Tanzania)	en-TZ
English (United States)	en-US
English (South Africa)	en-ZA
French (Belgium)	fr-BE
French (Canada)	fr-CA
French (Switzerland)	fr-CH
French (France)	fr-FR
Japanese (Japan)	ja-JP
Spanish (Argentina)	es-AR
Spanish (Bolivia)	es-BO
Spanish (Chile)	es-CL
Spanish (Colombia)	es-CO
Spanish (Costa Rica)	es-CR
Spanish (Cuba)	es-CU
Spanish (Dominican Republic)	es-DO
Spanish (Ecuador)	es-EC
Spanish (Spain)	es-ES
Spanish (Equatorial Guinea)	es-GQ
Spanish (Guatemala)	es-GT
Spanish (Honduras)	es-HN
Spanish (Mexico)	es-MX
Spanish (Nicaragua)	es-NI
Spanish (Panama)	es-PA
Spanish (Peru)	es-PE
Spanish (Puerto Rico)	es-PR
Spanish (Paraguay)	es-PY
Spanish (El Salvador)	es-SV
Spanish (United States)	es-US
Spanish (Uruguay)	es-UY
Spanish (Venezuela)	es-VE
Chinese (Cantonese, Traditional)	zh-HK
Chinese (Mandarin, Simplified)	zh-CN
Chinese (Taiwanese Mandarin)	zh-TW

Next steps

• Region support