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 additional service features.

You can also get a list of locales and voices supported for each specific region or endpoint through the Speech SDK, Speech-to-text REST API, Speech-to-text REST API for short audio and Text-to-speech REST API.

Supported languages

Language support varies by Speech service functionality.

Note

See Speech Containers and Embedded Speech separately for their supported languages.

Choose a Speech feature

Speech-to-text

The table in this section summarizes the locales and voices supported for Speech-to-text. Please see the table footnotes for more details.

Additional remarks for Speech-to-text locales are included in the Custom Speech section below.

Tip

Try out the Real-time Speech-to-text tool without having to use any code.

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)	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
ar-IL	Arabic (Israel)	Plain text
ar-IQ	Arabic (Iraq)	Plain text
ar-JO	Arabic (Jordan)	Plain text
ar-KW	Arabic (Kuwait)	Plain text
ar-LB	Arabic (Lebanon)	Plain text
ar-LY	Arabic (Libya)	Plain text
ar-MA	Arabic (Morocco)	Audio + human-labeled transcript Plain text
ar-OM	Arabic (Oman)	Plain text
ar-PS	Arabic (Palestinian Territories)	Plain text
ar-QA	Arabic (Qatar)	Plain text
ar-SA	Arabic (Saudi Arabia)	Audio + human-labeled transcript Plain text
ar-SY	Arabic (Syria)	Plain text
ar-TN	Arabic (Tunisia)	Audio + human-labeled transcript Plain text
ar-YE	Arabic (Yemen)	Audio + human-labeled transcript Plain text
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 (Spain)	Plain text Pronunciation
cs-CZ	Czech (Czechia)	Audio + human-labeled transcript Plain text Pronunciation
cy-GB	Welsh (United Kingdom)	Plain text
da-DK	Danish (Denmark)	Audio + human-labeled transcript Plain text 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
de-DE	German (Germany)	Audio + human-labeled transcript Plain text Structured text Pronunciation Phrase list
el-GR	Greek (Greece)	Plain text
en-AU	English (Australia)	Audio + human-labeled transcript Audio Plain text Structured text Pronunciation Phrase list
en-CA	English (Canada)	Audio + human-labeled transcript Audio Plain text Structured text Pronunciation Phrase list
en-GB	English (United Kingdom)	Audio + human-labeled transcript Audio Plain text Structured text 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 Pronunciation
en-IE	English (Ireland)	Audio + human-labeled transcript Audio Plain text Pronunciation
en-IN	English (India)	Audio + human-labeled transcript Plain text Structured text 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 Pronunciation
en-NZ	English (New Zealand)	Audio + human-labeled transcript Audio Plain text Pronunciation
en-PH	English (Philippines)	Audio + human-labeled transcript Audio Plain text Pronunciation
en-SG	English (Singapore)	Audio + human-labeled transcript Audio Plain text 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 Pronunciation Phrase list
en-ZA	English (South Africa)	Audio + human-labeled transcript Audio Plain text Pronunciation
es-AR	Spanish (Argentina)	Plain text Pronunciation
es-BO	Spanish (Bolivia)	Plain text Pronunciation
es-CL	Spanish (Chile)	Plain text Pronunciation
es-CO	Spanish (Colombia)	Plain text Pronunciation
es-CR	Spanish (Costa Rica)	Plain text Pronunciation
es-CU	Spanish (Cuba)	Plain text Pronunciation
es-DO	Spanish (Dominican Republic)	Plain text Pronunciation
es-EC	Spanish (Ecuador)	Plain text Pronunciation
es-ES	Spanish (Spain)	Audio + human-labeled transcript Plain text Structured text Pronunciation Phrase list
es-GQ	Spanish (Equatorial Guinea)	Plain text
es-GT	Spanish (Guatemala)	Plain text Pronunciation
es-HN	Spanish (Honduras)	Plain text Pronunciation
es-MX	Spanish (Mexico)	Audio + human-labeled transcript Plain text Structured text Pronunciation Phrase list
es-NI	Spanish (Nicaragua)	Plain text Pronunciation
es-PA	Spanish (Panama)	Plain text Pronunciation
es-PE	Spanish (Peru)	Plain text Pronunciation
es-PR	Spanish (Puerto Rico)	Plain text Pronunciation
es-PY	Spanish (Paraguay)	Plain text Pronunciation
es-SV	Spanish (El Salvador)	Plain text Pronunciation
es-US	Spanish (United States)	Plain text Pronunciation
es-UY	Spanish (Uruguay)	Plain text Pronunciation
es-VE	Spanish (Venezuela)	Plain text Pronunciation
et-EE	Estonian (Estonia)	Plain text Pronunciation
eu-ES	Basque	Plain text
fa-IR	Persian (Iran)	Plain text
fi-FI	Finnish (Finland)	Plain text Pronunciation
fil-PH	Filipino (Philippines)	Audio + human-labeled transcript Plain text Pronunciation
fr-BE	French (Belgium)	Audio + human-labeled transcript Plain text
fr-CA	French (Canada)	Audio + human-labeled transcript Plain text Structured text Pronunciation Phrase list
fr-CH	French (Switzerland)	Plain text Pronunciation
fr-FR	French (France)	Audio + human-labeled transcript Plain text Structured text 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)	Plain text
hi-IN	Hindi (India)	Audio + human-labeled transcript Plain text Phrase list
hr-HR	Croatian (Croatia)	Plain text Pronunciation
hu-HU	Hungarian (Hungary)	Audio + human-labeled transcript Plain text Pronunciation
hy-AM	Armenian (Armenia)	Plain text
id-ID	Indonesian (Indonesia)	Plain text Pronunciation
is-IS	Icelandic (Iceland)	Plain text
it-CH	Italian (Switzerland)	Audio + human-labeled transcript Plain text
it-IT	Italian (Italy)	Audio + human-labeled transcript Plain text Structured text Pronunciation Phrase list
ja-JP	Japanese (Japan)	Audio + human-labeled transcript Plain text Structured text 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 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)	Plain text
ms-MY	Malay (Malaysia)	Audio + human-labeled transcript Plain text
mt-MT	Maltese (Malta)	Plain text
my-MM	Burmese (Myanmar)	Plain text
nb-NO	Norwegian Bokmål (Norway)	Audio + human-labeled transcript Plain text
ne-NP	Nepali (Nepal)	Plain text
nl-BE	Dutch (Belgium)	Plain text
nl-NL	Dutch (Netherlands)	Audio + human-labeled transcript Plain text Pronunciation
pl-PL	Polish (Poland)	Audio + human-labeled transcript Plain text Pronunciation
ps-AF	Pashto (Afghanistan)	Plain text
pt-BR	Portuguese (Brazil)	Audio + human-labeled transcript Plain text Structured text Pronunciation Phrase list
pt-PT	Portuguese (Portugal)	Audio + human-labeled transcript Plain text Pronunciation
ro-RO	Romanian (Romania)	Plain text Pronunciation
ru-RU	Russian (Russia)	Audio + human-labeled transcript Plain text
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 Pronunciation
sw-KE	Swahili (Kenya)	Audio + human-labeled transcript Plain text
sw-TZ	Swahili (Tanzania)	Audio + human-labeled transcript Plain text
ta-IN	Tamil (India)	Plain text
te-IN	Telugu (India)	Plain text
th-TH	Thai (Thailand)	Audio + human-labeled transcript Plain text
tr-TR	Turkish (Turkey)	Audio + human-labeled transcript Plain text Structured text
uk-UA	Ukrainian (Ukraine)	Plain text
uz-UZ	Uzbek (Latin, Uzbekistan)	Plain text
vi-VN	Vietnamese (Vietnam)	Audio + human-labeled transcript Plain text
wuu-CN	Chinese (Wu, Simplified)	Audio + human-labeled transcript Plain text
yue-CN	Chinese (Cantonese, Simplified)	Audio + human-labeled transcript Plain text
zh-CN	Chinese (Mandarin, Simplified)	Audio + human-labeled transcript Plain text Structured text Phrase list
zh-CN-sichuan	Chinese (Southwestern Mandarin, Simplified)	Plain text
zh-HK	Chinese (Cantonese, Traditional)	Audio + human-labeled transcript Plain text
zh-TW	Chinese (Taiwanese Mandarin, Traditional)	Audio + human-labeled transcript Plain text
zu-ZA	Zulu (South Africa)	Plain text

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.

Text-to-speech

The tables in this section summarizes the locales and voices supported for Text-to-speech. Please see the table footnotes for more details.

Additional remarks for Text-to-speech locales are included in the Voice styles and roles, Prebuilt neural voices, and Custom Neural Voice sections below.

Tip

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

Locale (BCP-47)	Language	Text-to-speech voices
af-ZA	Afrikaans (South Africa)	af-ZA-AdriNeural2 (Female) af-ZA-WillemNeural2 (Male)
am-ET	Amharic (Ethiopia)	am-ET-AmehaNeural2 (Male) am-ET-MekdesNeural2 (Female)
ar-AE	Arabic (United Arab Emirates)	ar-AE-FatimaNeural (Female) ar-AE-HamdanNeural (Male)
ar-BH	Arabic (Bahrain)	ar-BH-AliNeural (Male) ar-BH-LailaNeural (Female)
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-BasselNeural (Male) ar-IQ-RanaNeural (Female)
ar-JO	Arabic (Jordan)	ar-JO-SanaNeural (Female) ar-JO-TaimNeural (Male)
ar-KW	Arabic (Kuwait)	ar-KW-FahedNeural (Male) ar-KW-NouraNeural (Female)
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-JamalNeural (Male) ar-MA-MounaNeural (Female)
ar-OM	Arabic (Oman)	ar-OM-AbdullahNeural (Male) ar-OM-AyshaNeural (Female)
ar-QA	Arabic (Qatar)	ar-QA-AmalNeural (Female) ar-QA-MoazNeural (Male)
ar-SA	Arabic (Saudi Arabia)	ar-SA-HamedNeural (Male) ar-SA-ZariyahNeural (Female)
ar-SY	Arabic (Syria)	ar-SY-AmanyNeural (Female) ar-SY-LaithNeural (Male)
ar-TN	Arabic (Tunisia)	ar-TN-HediNeural (Male) ar-TN-ReemNeural (Female)
ar-YE	Arabic (Yemen)	ar-YE-MaryamNeural (Female) ar-YE-SalehNeural (Male)
az-AZ	Azerbaijani (Latin, Azerbaijan)	az-AZ-BabekNeural2 (Male) az-AZ-BanuNeural2 (Female)
bg-BG	Bulgarian (Bulgaria)	bg-BG-BorislavNeural (Male) bg-BG-KalinaNeural (Female)
bn-BD	Bangla (Bangladesh)	bn-BD-NabanitaNeural2 (Female) bn-BD-PradeepNeural2 (Male)
bn-IN	Bengali (India)	bn-IN-BashkarNeural2 (Male) bn-IN-TanishaaNeural2 (Female)
bs-BA	Bosnian (Bosnia and Herzegovina)	bs-BA-GoranNeural2 (Male) bs-BA-VesnaNeural2 (Female)
ca-ES	Catalan (Spain)	ca-ES-AlbaNeural (Female) ca-ES-EnricNeural (Male) ca-ES-JoanaNeural (Female)
cs-CZ	Czech (Czechia)	cs-CZ-AntoninNeural (Male) cs-CZ-VlastaNeural (Female)
cy-GB	Welsh (United Kingdom)	cy-GB-AledNeural2 (Male) cy-GB-NiaNeural2 (Female)
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-JanNeural (Male) de-CH-LeniNeural (Female)
de-DE	German (Germany)	de-DE-AmalaNeural (Female) de-DE-BerndNeural (Male) de-DE-ChristophNeural (Male) de-DE-ConradNeural (Male) de-DE-ElkeNeural (Female) de-DE-GiselaNeural (Female, Child) de-DE-KasperNeural (Male) de-DE-KatjaNeural (Female) 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-AnnetteNeural1 (Female) en-AU-CarlyNeural1 (Female) en-AU-DarrenNeural1 (Male) en-AU-DuncanNeural1 (Male) en-AU-ElsieNeural1 (Female) en-AU-FreyaNeural1 (Female) en-AU-JoanneNeural1 (Female) en-AU-KenNeural1 (Male) en-AU-KimNeural1 (Female) en-AU-NatashaNeural (Female) en-AU-NeilNeural1 (Male) en-AU-TimNeural1 (Male) en-AU-TinaNeural1 (Female) en-AU-WilliamNeural (Male)
en-CA	English (Canada)	en-CA-ClaraNeural (Female) en-CA-LiamNeural (Male)
en-GB	English (United Kingdom)	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-LibbyNeural (Female) en-GB-MaisieNeural (Female, Child) en-GB-NoahNeural (Male) en-GB-OliverNeural (Male) en-GB-OliviaNeural (Female) en-GB-RyanNeural1 (Male) en-GB-SoniaNeural1 (Female) en-GB-ThomasNeural (Male)
en-HK	English (Hong Kong SAR)	en-HK-SamNeural (Male) en-HK-YanNeural (Female)
en-IE	English (Ireland)	en-IE-ConnorNeural (Male) en-IE-EmilyNeural (Female)
en-IN	English (India)	en-IN-NeerjaNeural (Female) en-IN-PrabhatNeural (Male)
en-KE	English (Kenya)	en-KE-AsiliaNeural (Female) en-KE-ChilembaNeural (Male)
en-NG	English (Nigeria)	en-NG-AbeoNeural (Male) en-NG-EzinneNeural (Female)
en-NZ	English (New Zealand)	en-NZ-MitchellNeural (Male) en-NZ-MollyNeural (Female)
en-PH	English (Philippines)	en-PH-JamesNeural (Male) en-PH-RosaNeural (Female)
en-SG	English (Singapore)	en-SG-LunaNeural (Female) en-SG-WayneNeural (Male)
en-TZ	English (Tanzania)	en-TZ-ElimuNeural (Male) en-TZ-ImaniNeural (Female)
en-US	English (United States)	en-US-AIGenerate1Neural1 (Male) en-US-AIGenerate2Neural1 (Female) en-US-AmberNeural (Female) en-US-AnaNeural (Female, Child) en-US-AriaNeural (Female) en-US-AshleyNeural (Female) en-US-BrandonNeural (Male) en-US-ChristopherNeural (Male) en-US-CoraNeural (Female) en-US-DavisNeural (Male) en-US-ElizabethNeural (Female) en-US-EricNeural (Male) en-US-GuyNeural (Male) en-US-JacobNeural (Male) en-US-JaneNeural (Female) en-US-JasonNeural (Male) en-US-JennyMultilingualNeural3 (Female) en-US-JennyNeural (Female) en-US-MichelleNeural (Female) en-US-MonicaNeural (Female) en-US-NancyNeural (Female) en-US-RogerNeural1 (Male) en-US-SaraNeural (Female) en-US-SteffanNeural (Male) en-US-TonyNeural (Male)
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-MarceloNeural (Male) es-BO-SofiaNeural (Female)
es-CL	Spanish (Chile)	es-CL-CatalinaNeural (Female) es-CL-LorenzoNeural (Male)
es-CO	Spanish (Colombia)	es-CO-GonzaloNeural (Male) es-CO-SalomeNeural (Female)
es-CR	Spanish (Costa Rica)	es-CR-JuanNeural (Male) es-CR-MariaNeural (Female)
es-CU	Spanish (Cuba)	es-CU-BelkysNeural (Female) es-CU-ManuelNeural (Male)
es-DO	Spanish (Dominican Republic)	es-DO-EmilioNeural (Male) es-DO-RamonaNeural (Female)
es-EC	Spanish (Ecuador)	es-EC-AndreaNeural (Female) es-EC-LuisNeural (Male)
es-ES	Spanish (Spain)	es-ES-AbrilNeural1 (Female) es-ES-AlvaroNeural1 (Male) es-ES-ArnauNeural1 (Male) es-ES-DarioNeural1 (Male) es-ES-EliasNeural1 (Male) es-ES-ElviraNeural (Female) es-ES-EstrellaNeural1 (Female) es-ES-IreneNeural1 (Female) es-ES-LaiaNeural1 (Female) es-ES-LiaNeural1 (Female) es-ES-NilNeural1 (Male) es-ES-SaulNeural1 (Male) es-ES-TeoNeural1 (Male) es-ES-TrianaNeural1 (Female) es-ES-VeraNeural1 (Female)
es-GQ	Spanish (Equatorial Guinea)	es-GQ-JavierNeural (Male) es-GQ-TeresaNeural (Female)
es-GT	Spanish (Guatemala)	es-GT-AndresNeural (Male) es-GT-MartaNeural (Female)
es-HN	Spanish (Honduras)	es-HN-CarlosNeural (Male) es-HN-KarlaNeural (Female)
es-MX	Spanish (Mexico)	es-MX-BeatrizNeural (Female) es-MX-CandelaNeural (Female) es-MX-CarlotaNeural (Female) es-MX-CecilioNeural (Male) es-MX-DaliaNeural (Female) es-MX-GerardoNeural (Male) es-MX-JorgeNeural1 (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-FedericoNeural (Male) es-NI-YolandaNeural (Female)
es-PA	Spanish (Panama)	es-PA-MargaritaNeural (Female) es-PA-RobertoNeural (Male)
es-PE	Spanish (Peru)	es-PE-AlexNeural (Male) es-PE-CamilaNeural (Female)
es-PR	Spanish (Puerto Rico)	es-PR-KarinaNeural (Female) es-PR-VictorNeural (Male)
es-PY	Spanish (Paraguay)	es-PY-MarioNeural (Male) es-PY-TaniaNeural (Female)
es-SV	Spanish (El Salvador)	es-SV-LorenaNeural (Female) es-SV-RodrigoNeural (Male)
es-US	Spanish (United States)	es-US-AlonsoNeural (Male) es-US-PalomaNeural (Female)
es-UY	Spanish (Uruguay)	es-UY-MateoNeural (Male) es-UY-ValentinaNeural (Female)
es-VE	Spanish (Venezuela)	es-VE-PaolaNeural (Female) es-VE-SebastianNeural (Male)
et-EE	Estonian (Estonia)	et-EE-AnuNeural2 (Female) et-EE-KertNeural2 (Male)
eu-ES	Basque	eu-ES-AinhoaNeural2 (Female) eu-ES-AnderNeural2 (Male)
fa-IR	Persian (Iran)	fa-IR-DilaraNeural2 (Female) fa-IR-FaridNeural2 (Male)
fi-FI	Finnish (Finland)	fi-FI-HarriNeural (Male) fi-FI-NooraNeural (Female) fi-FI-SelmaNeural (Female)
fil-PH	Filipino (Philippines)	fil-PH-AngeloNeural2 (Male) fil-PH-BlessicaNeural2 (Female)
fr-BE	French (Belgium)	fr-BE-CharlineNeural (Female) fr-BE-GerardNeural (Male)
fr-CA	French (Canada)	fr-CA-AntoineNeural (Male) fr-CA-JeanNeural (Male) fr-CA-SylvieNeural (Female)
fr-CH	French (Switzerland)	fr-CH-ArianeNeural (Female) fr-CH-FabriceNeural (Male)
fr-FR	French (France)	fr-FR-AlainNeural (Male) fr-FR-BrigitteNeural (Female) fr-FR-CelesteNeural (Female) fr-FR-ClaudeNeural (Male) fr-FR-CoralieNeural (Female) fr-FR-DeniseNeural1 (Female) fr-FR-EloiseNeural (Female, Child) fr-FR-HenriNeural1 (Male) 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-ColmNeural2 (Male) ga-IE-OrlaNeural2 (Female)
gl-ES	Galician	gl-ES-RoiNeural2 (Male) gl-ES-SabelaNeural2 (Female)
gu-IN	Gujarati (India)	gu-IN-DhwaniNeural (Female) gu-IN-NiranjanNeural (Male)
he-IL	Hebrew (Israel)	he-IL-AvriNeural (Male) he-IL-HilaNeural (Female)
hi-IN	Hindi (India)	hi-IN-MadhurNeural (Male) hi-IN-SwaraNeural (Female)
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-AnahitNeural2 (Female) hy-AM-HaykNeural2 (Male)
id-ID	Indonesian (Indonesia)	id-ID-ArdiNeural (Male) id-ID-GadisNeural (Female)
is-IS	Icelandic (Iceland)	is-IS-GudrunNeural2 (Female) is-IS-GunnarNeural2 (Male)
it-IT	Italian (Italy)	it-IT-BenignoNeural (Male) it-IT-CalimeroNeural (Male) it-IT-CataldoNeural (Male) it-IT-DiegoNeural1 (Male) it-IT-ElsaNeural (Female) it-IT-FabiolaNeural (Female) it-IT-FiammaNeural (Female) it-IT-GianniNeural (Male) it-IT-ImeldaNeural (Female) it-IT-IrmaNeural (Female) it-IT-IsabellaNeural1 (Female) it-IT-LisandroNeural (Male) it-IT-PalmiraNeural (Female) it-IT-PierinaNeural (Female) it-IT-RinaldoNeural (Male)
ja-JP	Japanese (Japan)	ja-JP-AoiNeural1 (Female) ja-JP-DaichiNeural1 (Male) ja-JP-KeitaNeural (Male) ja-JP-MayuNeural1 (Female) ja-JP-NanamiNeural (Female) ja-JP-NaokiNeural1 (Male) ja-JP-ShioriNeural1 (Female)
jv-ID	Javanese (Latin, Indonesia)	jv-ID-DimasNeural2 (Male) jv-ID-SitiNeural2 (Female)
ka-GE	Georgian (Georgia)	ka-GE-EkaNeural2 (Female) ka-GE-GiorgiNeural2 (Male)
kk-KZ	Kazakh (Kazakhstan)	kk-KZ-AigulNeural2 (Female) kk-KZ-DauletNeural2 (Male)
km-KH	Khmer (Cambodia)	km-KH-PisethNeural2 (Male) km-KH-SreymomNeural2 (Female)
kn-IN	Kannada (India)	kn-IN-GaganNeural2 (Male) kn-IN-SapnaNeural2 (Female)
ko-KR	Korean (Korea)	ko-KR-BongJinNeural1 (Male) ko-KR-GookMinNeural1 (Male) ko-KR-InJoonNeural (Male) ko-KR-JiMinNeural1 (Female) ko-KR-SeoHyeonNeural1 (Female) ko-KR-SoonBokNeural1 (Female) ko-KR-SunHiNeural (Female) ko-KR-YuJinNeural1 (Female)
lo-LA	Lao (Laos)	lo-LA-ChanthavongNeural2 (Male) lo-LA-KeomanyNeural2 (Female)
lt-LT	Lithuanian (Lithuania)	lt-LT-LeonasNeural2 (Male) lt-LT-OnaNeural2 (Female)
lv-LV	Latvian (Latvia)	lv-LV-EveritaNeural2 (Female) lv-LV-NilsNeural2 (Male)
mk-MK	Macedonian (North Macedonia)	mk-MK-AleksandarNeural2 (Male) mk-MK-MarijaNeural2 (Female)
ml-IN	Malayalam (India)	ml-IN-MidhunNeural2 (Male) ml-IN-SobhanaNeural2 (Female)
mn-MN	Mongolian (Mongolia)	mn-MN-BataaNeural2 (Male) mn-MN-YesuiNeural2 (Female)
mr-IN	Marathi (India)	mr-IN-AarohiNeural (Female) mr-IN-ManoharNeural (Male)
ms-MY	Malay (Malaysia)	ms-MY-OsmanNeural (Male) ms-MY-YasminNeural (Female)
mt-MT	Maltese (Malta)	mt-MT-GraceNeural2 (Female) mt-MT-JosephNeural2 (Male)
my-MM	Burmese (Myanmar)	my-MM-NilarNeural2 (Female) my-MM-ThihaNeural2 (Male)
nb-NO	Norwegian Bokmål (Norway)	nb-NO-FinnNeural (Male) nb-NO-IselinNeural (Female) nb-NO-PernilleNeural (Female)
ne-NP	Nepali (Nepal)	ne-NP-HemkalaNeural2 (Female) ne-NP-SagarNeural2 (Male)
nl-BE	Dutch (Belgium)	nl-BE-ArnaudNeural (Male) nl-BE-DenaNeural (Female)
nl-NL	Dutch (Netherlands)	nl-NL-ColetteNeural (Female) nl-NL-FennaNeural1 (Female) nl-NL-MaartenNeural1 (Male)
pl-PL	Polish (Poland)	pl-PL-AgnieszkaNeural (Female) pl-PL-MarekNeural (Male) pl-PL-ZofiaNeural (Female)
ps-AF	Pashto (Afghanistan)	ps-AF-GulNawazNeural2 (Male) ps-AF-LatifaNeural2 (Female)
pt-BR	Portuguese (Brazil)	pt-BR-AntonioNeural (Male) pt-BR-BrendaNeural (Female) pt-BR-DonatoNeural (Male) pt-BR-ElzaNeural (Female) pt-BR-FabioNeural (Male) pt-BR-FranciscaNeural (Female) 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-ValerioNeural (Male) pt-BR-YaraNeural (Female)
pt-PT	Portuguese (Portugal)	pt-PT-DuarteNeural (Male) pt-PT-FernandaNeural (Female) pt-PT-RaquelNeural (Female)
ro-RO	Romanian (Romania)	ro-RO-AlinaNeural (Female) ro-RO-EmilNeural (Male)
ru-RU	Russian (Russia)	ru-RU-DariyaNeural (Female) ru-RU-DmitryNeural (Male) ru-RU-SvetlanaNeural (Female)
si-LK	Sinhala (Sri Lanka)	si-LK-SameeraNeural2 (Male) si-LK-ThiliniNeural2 (Female)
sk-SK	Slovak (Slovakia)	sk-SK-LukasNeural (Male) sk-SK-ViktoriaNeural (Female)
sl-SI	Slovenian (Slovenia)	sl-SI-PetraNeural (Female) sl-SI-RokNeural (Male)
so-SO	Somali (Somalia)	so-SO-MuuseNeural2 (Male) so-SO-UbaxNeural2 (Female)
sq-AL	Albanian (Albania)	sq-AL-AnilaNeural2 (Female) sq-AL-IlirNeural2 (Male)
sr-RS	Serbian (Cyrillic, Serbia)	sr-RS-NicholasNeural2 (Male) sr-RS-SophieNeural2 (Female)
su-ID	Sundanese (Indonesia)	su-ID-JajangNeural2 (Male) su-ID-TutiNeural2 (Female)
sv-SE	Swedish (Sweden)	sv-SE-HilleviNeural (Female) sv-SE-MattiasNeural (Male) sv-SE-SofieNeural (Female)
sw-KE	Swahili (Kenya)	sw-KE-RafikiNeural2 (Male) sw-KE-ZuriNeural2 (Female)
sw-TZ	Swahili (Tanzania)	sw-TZ-DaudiNeural (Male) sw-TZ-RehemaNeural (Female)
ta-IN	Tamil (India)	ta-IN-PallaviNeural (Female) ta-IN-ValluvarNeural (Male)
ta-LK	Tamil (Sri Lanka)	ta-LK-KumarNeural (Male) ta-LK-SaranyaNeural (Female)
ta-MY	Tamil (Malaysia)	ta-MY-KaniNeural (Female) ta-MY-SuryaNeural (Male)
ta-SG	Tamil (Singapore)	ta-SG-AnbuNeural (Male) ta-SG-VenbaNeural (Female)
te-IN	Telugu (India)	te-IN-MohanNeural (Male) te-IN-ShrutiNeural (Female)
th-TH	Thai (Thailand)	th-TH-AcharaNeural (Female) th-TH-NiwatNeural (Male) th-TH-PremwadeeNeural (Female)
tr-TR	Turkish (Turkey)	tr-TR-AhmetNeural (Male) tr-TR-EmelNeural (Female)
uk-UA	Ukrainian (Ukraine)	uk-UA-OstapNeural (Male) uk-UA-PolinaNeural (Female)
ur-IN	Urdu (India)	ur-IN-GulNeural (Female) ur-IN-SalmanNeural (Male)
ur-PK	Urdu (Pakistan)	ur-PK-AsadNeural (Male) ur-PK-UzmaNeural (Female)
uz-UZ	Uzbek (Latin, Uzbekistan)	uz-UZ-MadinaNeural2 (Female) uz-UZ-SardorNeural2 (Male)
vi-VN	Vietnamese (Vietnam)	vi-VN-HoaiMyNeural (Female) vi-VN-NamMinhNeural (Male)
wuu-CN	Chinese (Wu, Simplified)	wuu-CN-XiaotongNeural1,2 (Female) wuu-CN-YunzheNeural1,2 (Male)
yue-CN	Chinese (Cantonese, Simplified)	yue-CN-XiaoMinNeural1,2 (Female) yue-CN-YunSongNeural1,2 (Male)
zh-CN	Chinese (Mandarin, Simplified)	zh-CN-XiaochenNeural (Female) zh-CN-XiaohanNeural (Female) zh-CN-XiaomengNeural (Female) zh-CN-XiaomoNeural (Female) zh-CN-XiaoqiuNeural (Female) zh-CN-XiaoruiNeural (Female) zh-CN-XiaoshuangNeural (Female, Child) zh-CN-XiaoxiaoNeural (Female) zh-CN-XiaoxuanNeural (Female) zh-CN-XiaoyanNeural (Female) zh-CN-XiaoyiNeural (Female) zh-CN-XiaoyouNeural (Female, Child) zh-CN-XiaozhenNeural (Female) zh-CN-YunfengNeural (Male) zh-CN-YunhaoNeural (Male) zh-CN-YunjianNeural (Male) zh-CN-YunxiaNeural (Male) zh-CN-YunxiNeural (Male) zh-CN-YunyangNeural (Male) zh-CN-YunyeNeural (Male) zh-CN-YunzeNeural (Male)
zh-CN-henan	Chinese (Zhongyuan Mandarin Henan, Simplified)	zh-CN-henan-YundengNeural2 (Male)
zh-CN-liaoning	Chinese (Northeastern Mandarin, Simplified)	zh-CN-liaoning-XiaobeiNeural1,2 (Female)
zh-CN-shaanxi	Chinese (Zhongyuan Mandarin Shaanxi, Simplified)	zh-CN-shaanxi-XiaoniNeural1,2 (Female)
zh-CN-shandong	Chinese (Jilu Mandarin, Simplified)	zh-CN-shandong-YunxiangNeural2 (Male)
zh-CN-sichuan	Chinese (Southwestern Mandarin, Simplified)	zh-CN-sichuan-YunxiNeural1,2 (Male)
zh-HK	Chinese (Cantonese, Traditional)	zh-HK-HiuGaaiNeural (Female) zh-HK-HiuMaanNeural (Female) zh-HK-WanLungNeural1 (Male)
zh-TW	Chinese (Taiwanese Mandarin, Traditional)	zh-TW-HsiaoChenNeural (Female) zh-TW-HsiaoYuNeural (Female) zh-TW-YunJheNeural (Male)
zu-ZA	Zulu (South Africa)	zu-ZA-ThandoNeural2 (Female) zu-ZA-ThembaNeural2 (Male)

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 Visemes, phonemes, and custom lexicon are not supported. Visemes are supported for all other voices. However, SVG is only supported for neural voices of the en-US locale, and blend shapes is only supported for neural voices of the en-US and zh-CN locales. For more information, see Get facial position with viseme and Viseme element.

³ For the multilingual voice the primary default locale is en-US. Additional locales are supported using SSML.

Voice styles and roles

In some cases, you can adjust the speaking style to express different emotions like cheerfulness, empathy, and calm. 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
en-GB-RyanNeural1	chat, cheerful	Not supported
en-GB-SoniaNeural1	cheerful, sad	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-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-TonyNeural	angry, cheerful, excited, friendly, hopeful, sad, shouting, terrified, unfriendly, whispering	Not supported
es-MX-JorgeNeural1	chat, cheerful	Not supported
fr-FR-DeniseNeural1	cheerful, sad	Not supported
fr-FR-HenriNeural1	cheerful, sad	Not supported
it-IT-IsabellaNeural1	chat, cheerful	Not supported
ja-JP-NanamiNeural	chat, cheerful, customerservice	Not supported
pt-BR-FranciscaNeural	calm	Not supported
zh-CN-XiaohanNeural5	affectionate, angry, calm, cheerful, disgruntled, embarrassed, fearful, gentle, sad, serious	Not supported
zh-CN-XiaomengNeural5	chat	Not supported
zh-CN-XiaomoNeural5	affectionate, angry, calm, cheerful, depressed, disgruntled, embarrassed, envious, fearful, gentle, sad, serious	Boy, Girl, OlderAdultFemale, OlderAdultMale, SeniorFemale, SeniorMale, YoungAdultFemale, YoungAdultMale
zh-CN-XiaoruiNeural5	angry, calm, fearful, sad	Not supported
zh-CN-XiaoshuangNeural5	chat	Not supported
zh-CN-XiaoxiaoNeural5	affectionate, angry, assistant, calm, chat, cheerful, customerservice, disgruntled, fearful, friendly, gentle, lyrical, newscast, poetry-reading, sad, serious	Not supported
zh-CN-XiaoxuanNeural5	angry, calm, cheerful, depressed, disgruntled, fearful, gentle, serious	Boy, Girl, OlderAdultFemale, OlderAdultMale, SeniorFemale, SeniorMale, YoungAdultFemale, YoungAdultMale
zh-CN-XiaoyiNeural5	affectionate, angry, cheerful, disgruntled, embarrassed, fearful, gentle, sad, serious	Not supported
zh-CN-XiaozhenNeural5	angry, cheerful, disgruntled, fearful, sad, serious	Not supported
zh-CN-YunfengNeural5	angry, cheerful, depressed, disgruntled, fearful, sad, serious	Not supported
zh-CN-YunhaoNeural2,5	advertisement-upbeat	Not supported
zh-CN-YunjianNeural3,4,5	narration-relaxed, sports-commentary, sports-commentary-excited	Not supported
zh-CN-YunxiaNeural5	angry, calm, cheerful, fearful, sad	Not supported
zh-CN-YunxiNeural5	angry, assistant, chat, cheerful, depressed, disgruntled, embarrassed, fearful, narration-relaxed, newscast, sad, serious	Boy, Narrator, YoungAdultMale
zh-CN-YunyangNeural5	customerservice, narration-professional, newscast-casual	Not supported
zh-CN-YunyeNeural5	angry, calm, cheerful, disgruntled, embarrassed, fearful, sad, serious	Boy, Girl, OlderAdultFemale, OlderAdultMale, SeniorFemale, SeniorMale, YoungAdultFemale, YoungAdultMale
zh-CN-YunzeNeural5	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.

⁵ The voice supports style degree for you to specify the intensity of the speaking style.

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.

Please note that the following neural voices are retired.

• The English (United Kingdom) voice en-GB-MiaNeural 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 container Neural TTS, download and deploy the latest version. Starting from October 30, 2021, all requests with previous versions will not succeed.
• The en-US-JessaNeural voice is retired and replaced by en-US-AriaNeural. If you were using "Jessa" before, convert to "Aria."

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. 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 (preview), 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.

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

Pronunciation assessment

The table in this section summarizes the locales supported for Pronunciation assessment, and each language is available on all Speech-to-text regions.

Language	Locale (BCP-47)
Arabic (Saudi Arabia)	ar-SA1
Chinese (Mandarin, Simplified)	zh-CN
English (Australia)	en-AU
English (India)	en-IN1
English (United Kingdom)	en-GB
English (United States)	en-US
French (Canada)	fr-CA1
French (France)	fr-FR
German (Germany)	de-DE1
Japanese (Japan)	ja-JP1
Norwegian Bokmål (Norway)	nb-NO1
Spanish (Mexico)	es-MX1
Spanish (Spain)	es-ES
Vietnamese (Vietnam)	vi-VN1

¹ The language is in public preview for pronunciation assessment.

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. 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

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've 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