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03/19/2025
The following tables summarize language support for speech to text, text to speech, pronunciation assessment, speech translation, and more service features.
You can also get a list of locales and voices supported for each specific region or endpoint via:
Language support varies by Speech service functionality.
Choose a Speech feature
- Speech to text
- Text to speech
- Pronunciation assessment
- Speech translation
- Language identification
- Intent Recognition
The table in this section summarizes the locales supported for speech to text (real-time and batch transcription).
More remarks for speech to text locales are included in the custom speech section of this article.
Tip
Try out the Azure AI Speech Toolkit to easily build and run samples on Visual Studio 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) | Audio + human-labeled transcript Plain text |
|
ar-BH |
Arabic (Bahrain) | Audio + human-labeled transcript Plain text |
|
ar-DZ |
Arabic (Algeria) | Audio + human-labeled transcript Plain text |
|
ar-EG |
Arabic (Egypt) | Audio + human-labeled transcript Plain text Structured text |
|
ar-IL |
Arabic (Israel) | Audio + human-labeled transcript Plain text |
|
ar-IQ |
Arabic (Iraq) | Audio + human-labeled transcript Plain text |
|
ar-JO |
Arabic (Jordan) | Audio + human-labeled transcript Plain text |
|
ar-KW |
Arabic (Kuwait) | Audio + human-labeled transcript Plain text |
|
ar-LB |
Arabic (Lebanon) | Audio + human-labeled transcript Plain text |
|
ar-LY |
Arabic (Libya) | Audio + human-labeled transcript Plain text |
|
ar-MA |
Arabic (Morocco) | Audio + human-labeled transcript Plain text |
|
ar-OM |
Arabic (Oman) | Audio + human-labeled transcript Plain text |
|
ar-PS |
Arabic (Palestinian Authority) | Audio + human-labeled transcript Plain text |
|
ar-QA |
Arabic (Qatar) | Audio + human-labeled transcript Plain text |
|
ar-SA |
Arabic (Saudi Arabia) | Audio + human-labeled transcript Plain text Structured text Phrase list |
|
ar-SY |
Arabic (Syria) | Audio + human-labeled transcript Plain text |
|
ar-TN |
Arabic (Tunisia) | Audio + human-labeled transcript Plain text |
|
ar-YE |
Arabic (Yemen) | Audio + human-labeled transcript Plain text |
|
as-IN |
Assamese (India) | Audio + human-labeled transcript | |
az-AZ |
Azerbaijani (Latin, Azerbaijan) | Plain text | |
bg-BG |
Bulgarian (Bulgaria) | Plain text | |
bn-IN |
Bengali (India) | Plain text | |
bs-BA |
Bosnian (Bosnia and Herzegovina) | Plain text | |
ca-ES |
Catalan | Plain text Pronunciation |
|
cs-CZ |
Czech (Czechia) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
cy-GB |
Welsh (United Kingdom) | Plain text | |
da-DK |
Danish (Denmark) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation |
|
de-AT |
German (Austria) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
de-CH |
German (Switzerland) | Audio + human-labeled transcript Plain text Pronunciation Phrase list |
|
de-DE |
German (Germany) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
el-GR |
Greek (Greece) | Audio + human-labeled transcript Plain text Structured text |
|
en-AU |
English (Australia) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation Phrase list |
|
en-CA |
English (Canada) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation Phrase list |
|
en-GB |
English (United Kingdom) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation Phrase list |
|
en-GH |
English (Ghana) | Audio + human-labeled transcript Audio Plain text Structured text Pronunciation |
|
en-HK |
English (Hong Kong SAR, China) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation |
|
en-IE |
English (Ireland) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation Phrase list |
|
en-IN |
English (India) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
en-KE |
English (Kenya) | Audio + human-labeled transcript Audio Plain text Structured text Pronunciation |
|
en-NG |
English (Nigeria) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation |
|
en-NZ |
English (New Zealand) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation |
|
en-PH |
English (Philippines) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation |
|
en-SG |
English (Singapore) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation |
|
en-TZ |
English (Tanzania) | Audio + human-labeled transcript Audio Plain text Structured text Pronunciation |
|
en-US |
English (United States) | Audio + human-labeled transcript Audio Plain text Structured text Output format Pronunciation Phrase list |
|
en-ZA |
English (South Africa) | Audio + human-labeled transcript Audio Plain text Structured text Pronunciation Phrase list |
|
es-AR |
Spanish (Argentina) | Plain text Structured text Pronunciation |
|
es-BO |
Spanish (Bolivia) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-CL |
Spanish (Chile) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-CO |
Spanish (Colombia) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-CR |
Spanish (Costa Rica) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-CU |
Spanish (Cuba) | Plain text Structured text Pronunciation |
|
es-DO |
Spanish (Dominican Republic) | Plain text Structured text Pronunciation |
|
es-EC |
Spanish (Ecuador) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-ES |
Spanish (Spain) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
es-GQ |
Spanish (Equatorial Guinea) | Audio + human-labeled transcript Plain text Structured text |
|
es-GT |
Spanish (Guatemala) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-HN |
Spanish (Honduras) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-MX |
Spanish (Mexico) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
es-NI |
Spanish (Nicaragua) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-PA |
Spanish (Panama) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-PE |
Spanish (Peru) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-PR |
Spanish (Puerto Rico) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-PY |
Spanish (Paraguay) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-SV |
Spanish (El Salvador) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-US |
Spanish (United States)1 | Plain text Structured text Pronunciation Phrase list |
|
es-UY |
Spanish (Uruguay) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
es-VE |
Spanish (Venezuela) | Audio + human-labeled transcript Plain text Structured text Pronunciation |
|
et-EE |
Estonian (Estonia) | Plain text Pronunciation |
|
eu-ES |
Basque | Plain text | |
fa-IR |
Persian (Iran) | Plain text | |
fi-FI |
Finnish (Finland) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation |
|
fil-PH |
Filipino (Philippines) | Plain text Pronunciation |
|
fr-BE |
French (Belgium) | Plain text | |
fr-CA |
French (Canada) | Plain text Structured text Output format Pronunciation Phrase list |
|
fr-CH |
French (Switzerland) | Plain text Pronunciation |
|
fr-FR |
French (France) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
ga-IE |
Irish (Ireland) | Plain text Pronunciation |
|
gl-ES |
Galician | Plain text | |
gu-IN |
Gujarati (India) | Plain text | |
he-IL |
Hebrew (Israel) | Audio + human-labeled transcript Plain text |
|
hi-IN |
Hindi (India) | Audio + human-labeled transcript Plain text Output format Phrase list |
|
hr-HR |
Croatian (Croatia) | Plain text Pronunciation |
|
hu-HU |
Hungarian (Hungary) | Plain text Pronunciation |
|
hy-AM |
Armenian (Armenia) | Plain text | |
id-ID |
Indonesian (Indonesia) | Audio + human-labeled transcript Plain text Structured text Pronunciation Phrase list |
|
is-IS |
Icelandic (Iceland) | Plain text | |
it-CH |
Italian (Switzerland) | Plain text | |
it-IT |
Italian (Italy) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
ja-JP |
Japanese (Japan) | Audio + human-labeled transcript Plain text Structured text Output format Phrase list |
|
jv-ID |
Javanese (Latin, Indonesia) | Plain text | |
ka-GE |
Georgian (Georgia) | Plain text | |
kk-KZ |
Kazakh (Kazakhstan) | Plain text | |
km-KH |
Khmer (Cambodia) | Plain text | |
kn-IN |
Kannada (India) | Plain text | |
ko-KR |
Korean (Korea) | Audio + human-labeled transcript Plain text Structured text Output format Phrase list |
|
lo-LA |
Lao (Laos) | Plain text | |
lt-LT |
Lithuanian (Lithuania) | Plain text Pronunciation |
|
lv-LV |
Latvian (Latvia) | Plain text Pronunciation |
|
mk-MK |
Macedonian (North Macedonia) | Plain text | |
ml-IN |
Malayalam (India) | Plain text | |
mn-MN |
Mongolian (Mongolia) | Plain text | |
mr-IN |
Marathi (India) | Plain text | |
ms-MY |
Malay (Malaysia) | Plain text | |
mt-MT |
Maltese (Malta) | Plain text | |
my-MM |
Burmese (Myanmar) | Plain text | |
nb-NO |
Norwegian Bokmål (Norway) | Plain text Output format |
|
ne-NP |
Nepali (Nepal) | Plain text | |
nl-BE |
Dutch (Belgium) | Plain text | |
nl-NL |
Dutch (Netherlands) | Plain text Output format Pronunciation Phrase list |
|
or-IN |
Odia (India) | Audio + human-labeled transcript | |
pa-IN |
Punjabi (India) | Audio + human-labeled transcript | |
pl-PL |
Polish (Poland) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
ps-AF |
Pashto (Afghanistan) | Plain text | |
pt-BR |
Portuguese (Brazil) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
pt-PT |
Portuguese (Portugal) | Audio + human-labeled transcript Plain text Structured text Output format Pronunciation Phrase list |
|
ro-RO |
Romanian (Romania) | Plain text Pronunciation |
|
ru-RU |
Russian (Russia) | Audio + human-labeled transcript Plain text Structured text Phrase list |
|
si-LK |
Sinhala (Sri Lanka) | Plain text | |
sk-SK |
Slovak (Slovakia) | Plain text Pronunciation |
|
sl-SI |
Slovenian (Slovenia) | Plain text Pronunciation |
|
so-SO |
Somali (Somalia) | Plain text | |
sq-AL |
Albanian (Albania) | Plain text | |
sr-RS |
Serbian (Cyrillic, Serbia) | Plain text | |
sv-SE |
Swedish (Sweden) | Audio + human-labeled transcript Plain text Output format Pronunciation Phrase list |
|
sw-KE |
Kiswahili (Kenya) | Plain text | |
sw-TZ |
Kiswahili (Tanzania) | Plain text | |
ta-IN |
Tamil (India) | Plain text | |
te-IN |
Telugu (India) | Plain text | |
th-TH |
Thai (Thailand) | Audio + human-labeled transcript Plain text Structured text Phrase list |
|
tr-TR |
Turkish (Türkiye) | Audio + human-labeled transcript Plain text Structured text Output format |
|
uk-UA |
Ukrainian (Ukraine) | Plain text | |
ur-IN |
Urdu (India) | Audio + human-labeled transcript | |
uz-UZ |
Uzbek (Latin, Uzbekistan) | Plain text | |
vi-VN |
Vietnamese (Vietnam) | Plain text Phrase list |
|
wuu-CN |
Chinese (Wu, Simplified) | Plain text | |
yue-CN |
Chinese (Cantonese, Simplified) | Plain text | |
zh-cn |
Chinese (Mandarin, Simplified) | Audio + human-labeled transcript Plain text Structured text Output format Phrase list |
|
zh-cn-shandong |
Chinese (Jilu Mandarin, Simplified) | Plain text | |
zh-cn-sichuan |
Chinese (Southwestern Mandarin, Simplified) | Plain text | |
zh-HK |
Chinese (Cantonese, Traditional) | Audio + human-labeled transcript Plain text Structured text Output format Phrase list |
|
zh-TW |
Chinese (Taiwanese Mandarin, Traditional) | Audio + human-labeled transcript Plain text Structured text Phrase list |
|
zu-ZA |
isiZulu (South Africa) | Plain text |
1 The model is bilingual and also supports English.
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, 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.
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, and prebuilt neural voices 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-AdriNeural 3 (Female)af-ZA-WillemNeural 3 (Male) |
am-ET |
Amharic (Ethiopia) | am-ET-MekdesNeural 3 (Female)am-ET-AmehaNeural 3 (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-YashicaNeural 3 (Female)as-IN-PriyomNeural 3 (Male) |
az-AZ |
Azerbaijani (Latin, Azerbaijan) | az-AZ-BanuNeural 3 (Female)az-AZ-BabekNeural 3 (Male) |
bg-BG |
Bulgarian (Bulgaria) | bg-BG-KalinaNeural (Female)bg-BG-BorislavNeural (Male) |
bn-BD |
Bangla (Bangladesh) | bn-BD-NabanitaNeural 3 (Female)bn-BD-PradeepNeural 3 (Male) |
bn-IN |
Bengali (India) | bn-IN-TanishaaNeural 3 (Female)bn-IN-BashkarNeural 3 (Male) |
bs-BA |
Bosnian (Bosnia and Herzegovina) | bs-BA-VesnaNeural 3 (Female)bs-BA-GoranNeural 3 (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-NiaNeural 3 (Female)cy-GB-AledNeural 3 (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-SeraphinaMultilingualNeural 4 (Female)de-DE-FlorianMultilingualNeural 4 (Male)de-DE-AmalaNeural (Female)de-DE-BerndNeural (Male)de-DE-ChristophNeural (Male)de-DE-ElkeNeural (Female)de-DE-GiselaNeural (Female, Child)de-DE-KasperNeural (Male)de-DE-KillianNeural (Male)de-DE-KlarissaNeural (Female)de-DE-KlausNeural (Male)de-DE-LouisaNeural (Female)de-DE-MajaNeural (Female)de-DE-RalfNeural (Male)de-DE-TanjaNeural (Female)de-DE-Florian:DragonHDLatestNeural 1 (Male)de-DE-Seraphina:DragonHDLatestNeural 1 (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-AdaMultilingualNeural 4 (Female)en-GB-OllieMultilingualNeural 4 (Male)en-GB-AbbiNeural (Female)en-GB-AlfieNeural (Male)en-GB-BellaNeural (Female)en-GB-ElliotNeural (Male)en-GB-EthanNeural (Male)en-GB-HollieNeural (Female)en-GB-MaisieNeural (Female, Child)en-GB-NoahNeural (Male)en-GB-OliverNeural (Male)en-GB-OliviaNeural (Female)en-GB-ThomasNeural (Male) |
en-HK |
English (Hong Kong SAR, China) | 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-AartiNeural (Female)en-IN-ArjunNeural (Male)en-IN-AnanyaNeural (Female)en-IN-KavyaNeural (Female)en-IN-KunalNeural (Male)en-IN-NeerjaNeural (Female)en-IN-PrabhatNeural (Male)en-IN-RehaanNeural (Male) |
en-KE |
English (Kenya) | en-KE-AsiliaNeural (Female)en-KE-ChilembaNeural (Male) |
en-NG |
English (Nigeria) | en-NG-EzinneNeural (Female)en-NG-AbeoNeural (Male) |
en-NZ |
English (New Zealand) | en-NZ-MollyNeural (Female)en-NZ-MitchellNeural (Male) |
en-PH |
English (Philippines) | en-PH-RosaNeural (Female)en-PH-JamesNeural (Male) |
en-SG |
English (Singapore) | en-SG-LunaNeural (Female)en-SG-WayneNeural (Male) |
en-TZ |
English (Tanzania) | en-TZ-ImaniNeural (Female)en-TZ-ElimuNeural (Male) |
en-US |
English (United States) | en-US-AvaMultilingualNeural 4 (Female)en-US-AndrewMultilingualNeural 4 (Male)en-US-EmmaMultilingualNeural 4 (Female)en-US-AlloyTurboMultilingualNeural 4 (Male)en-US-EchoTurboMultilingualNeural 4 (Male)en-US-FableTurboMultilingualNeural 4 (Neutral)en-US-OnyxTurboMultilingualNeural 4 (Male)en-US-NovaTurboMultilingualNeural 4 (Female)en-US-ShimmerTurboMultilingualNeural 4 (Female)en-US-BrianMultilingualNeural 4 (Male)en-US-AvaNeural (Female)en-US-AndrewNeural (Male)en-US-EmmaNeural (Female)en-US-BrianNeural (Male)en-US-JennyNeural (Female)en-US-GuyNeural (Male)en-US-AriaNeural (Female)en-US-DavisNeural (Male)en-US-JaneNeural (Female)en-US-JasonNeural (Male)en-US-KaiNeural (Male)en-US-LunaNeural (Female)en-US-SaraNeural (Female)en-US-TonyNeural (Male)en-US-NancyNeural (Female)en-US-CoraMultilingualNeural 4 (Female)en-US-ChristopherMultilingualNeural 4 (Male)en-US-BrandonMultilingualNeural 4 (Male)en-US-AmberNeural (Female)en-US-AnaNeural (Female, Child)en-US-AshleyNeural (Female)en-US-BrandonNeural (Male)en-US-ChristopherNeural (Male)en-US-CoraNeural (Female)en-US-ElizabethNeural (Female)en-US-EricNeural (Male)en-US-JacobNeural (Male)en-US-JennyMultilingualNeural 4 (Female)en-US-MichelleNeural (Female)en-US-MonicaNeural (Female)en-US-RogerNeural (Male)en-US-RyanMultilingualNeural 4 (Male)en-US-SteffanNeural (Male)en-US-AdamMultilingualNeural 1,4 (Male)en-US-AIGenerate1Neural 1 (Male)en-US-AIGenerate2Neural 1 (Female)en-US-AmandaMultilingualNeural 1,4 (Female)en-US-BlueNeural 1 (Neutral)en-US-DavisMultilingualNeural 1,4 (Male)en-US-DerekMultilingualNeural 1,4 (Male)en-US-DustinMultilingualNeural 1,4 (Male)en-US-EvelynMultilingualNeural 1,4 (Female)en-US-LewisMultilingualNeural 1,4 (Male)en-US-LolaMultilingualNeural 1,4 (Female)en-US-NancyMultilingualNeural 1,4 (Female)en-US-PhoebeMultilingualNeural 1,4 (Female)en-US-SamuelMultilingualNeural 1,4 (Male)en-US-SerenaMultilingualNeural 1,4 (Female)en-US-SteffanMultilingualNeural 1,4 (Male)en-US-Adam:DragonHDLatestNeural 1 (Male)en-US-Alloy:DragonHDLatestNeural 1 (Male)en-US-Andrew:DragonHDLatestNeural 1 (Male)en-US-Andrew2:DragonHDLatestNeural 1 (Male)en-US-Aria:DragonHDLatestNeural 1 (Female)en-US-Ava:DragonHDLatestNeural 1 (Female)en-US-Brian:DragonHDLatestNeural 1 (Male)en-US-Davis:DragonHDLatestNeural 1 (Male)en-US-Emma:DragonHDLatestNeural 1 (Female)en-US-Emma2:DragonHDLatestNeural 1 (Female)en-US-Jenny:DragonHDLatestNeural 1 (Female)en-US-Nova:DragonHDLatestNeural 1 (Female)en-US-Phoebe:DragonHDLatestNeural 1 (Female)en-US-Serena:DragonHDLatestNeural 1 (Female)en-US-Steffan:DragonHDLatestNeural 1 (Male)en-US-AlloyMultilingualNeural 5 (Male)en-US-EchoMultilingualNeural 5 (Male)en-US-FableMultilingualNeural 5 (Neutral)en-US-OnyxMultilingualNeural 5 (Male)en-US-NovaMultilingualNeural 5 (Female)en-US-ShimmerMultilingualNeural 5 (Female)en-US-AlloyMultilingualNeuralHD 5 (Male)en-US-EchoMultilingualNeuralHD 5 (Male)en-US-FableMultilingualNeuralHD 5 (Neutral)en-US-OnyxMultilingualNeuralHD 5 (Male)en-US-NovaMultilingualNeuralHD 5 (Female)en-US-ShimmerMultilingualNeuralHD 5 (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-ArabellaMultilingualNeural 4 (Female)es-ES-IsidoraMultilingualNeural 4 (Female)es-ES-TristanMultilingualNeural 4 (Male)es-ES-XimenaMultilingualNeural 4 (Female)es-ES-AbrilNeural (Female)es-ES-ArnauNeural (Male)es-ES-DarioNeural (Male)es-ES-EliasNeural (Male)es-ES-EstrellaNeural (Female)es-ES-IreneNeural (Female)es-ES-LaiaNeural (Female)es-ES-LiaNeural (Female)es-ES-NilNeural (Male)es-ES-SaulNeural (Male)es-ES-TeoNeural (Male)es-ES-TrianaNeural (Female)es-ES-VeraNeural (Female)es-ES-XimenaNeural (Female)es-ES-Tristan:DragonHDLatestNeural 1 (Male)es-ES-Ximena:DragonHDLatestNeural 1 (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-AnuNeural 3 (Female)et-EE-KertNeural 3 (Male) |
eu-ES |
Basque | eu-ES-AinhoaNeural 3 (Female)eu-ES-AnderNeural 3 (Male) |
fa-IR |
Persian (Iran) | fa-IR-DilaraNeural 3 (Female)fa-IR-FaridNeural 3 (Male) |
fi-FI |
Finnish (Finland) | fi-FI-SelmaNeural (Female)fi-FI-HarriNeural (Male)fi-FI-NooraNeural (Female) |
fil-PH |
Filipino (Philippines) | fil-PH-BlessicaNeural 3 (Female)fil-PH-AngeloNeural 3 (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-VivienneMultilingualNeural 4 (Female)fr-FR-RemyMultilingualNeural 4 (Male)fr-FR-LucienMultilingualNeural 4 (Male)fr-FR-AlainNeural (Male)fr-FR-BrigitteNeural (Female)fr-FR-CelesteNeural (Female)fr-FR-ClaudeNeural (Male)fr-FR-CoralieNeural (Female)fr-FR-EloiseNeural (Female, Child)fr-FR-JacquelineNeural (Female)fr-FR-JeromeNeural (Male)fr-FR-JosephineNeural (Female)fr-FR-MauriceNeural (Male)fr-FR-YvesNeural (Male)fr-FR-YvetteNeural (Female)fr-FR-Remy:DragonHDLatestNeural 1 (Male)fr-FR-Vivienne:DragonHDLatestNeural 1 (Female) |
ga-IE |
Irish (Ireland) | ga-IE-OrlaNeural 3 (Female)ga-IE-ColmNeural 3 (Male) |
gl-ES |
Galician | gl-ES-SabelaNeural 3 (Female)gl-ES-RoiNeural 3 (Male) |
gu-IN |
Gujarati (India) | gu-IN-DhwaniNeural (Female)gu-IN-NiranjanNeural (Male) |
he-IL |
Hebrew (Israel) | he-IL-HilaNeural (Female)he-IL-AvriNeural (Male) |
hi-IN |
Hindi (India) | hi-IN-AaravNeural (Male)hi-IN-AnanyaNeural (Female)hi-IN-AartiNeural (Female)hi-IN-ArjunNeural (Male)hi-IN-KavyaNeural (Female)hi-IN-KunalNeural (Male)hi-IN-RehaanNeural (Male)hi-IN-SwaraNeural (Female)hi-IN-MadhurNeural (Male) |
hr-HR |
Croatian (Croatia) | hr-HR-GabrijelaNeural (Female)hr-HR-SreckoNeural (Male) |
hu-HU |
Hungarian (Hungary) | hu-HU-NoemiNeural (Female)hu-HU-TamasNeural (Male) |
hy-AM |
Armenian (Armenia) | hy-AM-AnahitNeural 3 (Female)hy-AM-HaykNeural 3 (Male) |
id-ID |
Indonesian (Indonesia) | id-ID-GadisNeural (Female)id-ID-ArdiNeural (Male) |
is-IS |
Icelandic (Iceland) | is-IS-GudrunNeural 3 (Female)is-IS-GunnarNeural 3 (Male) |
it-IT |
Italian (Italy) | it-IT-ElsaNeural (Female)it-IT-IsabellaNeural (Female)it-IT-DiegoNeural (Male)it-IT-AlessioMultilingualNeural 4 (Male)it-IT-IsabellaMultilingualNeural 4 (Female)it-IT-GiuseppeMultilingualNeural 4 (Male)it-IT-MarcelloMultilingualNeural 4 (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) |
iu-CANS-CA |
Inuktitut (Syllabics, Canada) | iu-Cans-CA-SiqiniqNeural 3 (Female)iu-Cans-CA-TaqqiqNeural 3 (Male) |
iu-LATN-CA |
Inuktitut (Latin, Canada) | iu-Latn-CA-SiqiniqNeural 3 (Female)iu-Latn-CA-TaqqiqNeural 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-MasaruMultilingualNeural 1,4 (Male)ja-JP-Masaru:DragonHDLatestNeural 1 (Male)ja-JP-Nanami:DragonHDLatestNeural 1 (Female) |
jv-ID |
Javanese (Latin, Indonesia) | jv-ID-SitiNeural 3 (Female)jv-ID-DimasNeural 3 (Male) |
ka-GE |
Georgian (Georgia) | ka-GE-EkaNeural 3 (Female)ka-GE-GiorgiNeural 3 (Male) |
kk-KZ |
Kazakh (Kazakhstan) | kk-KZ-AigulNeural 3 (Female)kk-KZ-DauletNeural 3 (Male) |
km-KH |
Khmer (Cambodia) | km-KH-SreymomNeural 3 (Female)km-KH-PisethNeural 3 (Male) |
kn-IN |
Kannada (India) | kn-IN-SapnaNeural 3 (Female)kn-IN-GaganNeural 3 (Male) |
ko-KR |
Korean (Korea) | ko-KR-SunHiNeural (Female)ko-KR-InJoonNeural (Male)ko-KR-HyunsuMultilingualNeural 4 (Male)ko-KR-BongJinNeural (Male)ko-KR-GookMinNeural (Male)ko-KR-HyunsuNeural (Male)ko-KR-JiMinNeural (Female)ko-KR-SeoHyeonNeural (Female)ko-KR-SoonBokNeural (Female)ko-KR-YuJinNeural (Female) |
lo-LA |
Lao (Laos) | lo-LA-KeomanyNeural 3 (Female)lo-LA-ChanthavongNeural 3 (Male) |
lt-LT |
Lithuanian (Lithuania) | lt-LT-OnaNeural 3 (Female)lt-LT-LeonasNeural 3 (Male) |
lv-LV |
Latvian (Latvia) | lv-LV-EveritaNeural 3 (Female)lv-LV-NilsNeural 3 (Male) |
mk-MK |
Macedonian (North Macedonia) | mk-MK-MarijaNeural 3 (Female)mk-MK-AleksandarNeural 3 (Male) |
ml-IN |
Malayalam (India) | ml-IN-SobhanaNeural 3 (Female)ml-IN-MidhunNeural 3 (Male) |
mn-MN |
Mongolian (Mongolia) | mn-MN-YesuiNeural 3 (Female)mn-MN-BataaNeural 3 (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-GraceNeural 3 (Female)mt-MT-JosephNeural 3 (Male) |
my-MM |
Burmese (Myanmar) | my-MM-NilarNeural 3 (Female)my-MM-ThihaNeural 3 (Male) |
nb-NO |
Norwegian Bokmål (Norway) | nb-NO-PernilleNeural (Female)nb-NO-FinnNeural (Male)nb-NO-IselinNeural (Female) |
ne-NP |
Nepali (Nepal) | ne-NP-HemkalaNeural 3 (Female)ne-NP-SagarNeural 3 (Male) |
nl-BE |
Dutch (Belgium) | nl-BE-DenaNeural (Female)nl-BE-ArnaudNeural (Male) |
nl-NL |
Dutch (Netherlands) | nl-NL-FennaNeural (Female)nl-NL-MaartenNeural (Male)nl-NL-ColetteNeural (Female) |
or-IN |
Odia (India) | or-IN-SubhasiniNeural 3 (Female)or-IN-SukantNeural 3 (Male) |
pa-IN |
Punjabi (India) | pa-IN-OjasNeural 3 (Male)pa-IN-VaaniNeural 3 (Female) |
pl-PL |
Polish (Poland) | pl-PL-AgnieszkaNeural (Female)pl-PL-MarekNeural (Male)pl-PL-ZofiaNeural (Female) |
ps-AF |
Pashto (Afghanistan) | ps-AF-LatifaNeural 3 (Female)ps-AF-GulNawazNeural 3 (Male) |
pt-BR |
Portuguese (Brazil) | pt-BR-FranciscaNeural (Female)pt-BR-AntonioNeural (Male)pt-BR-MacerioMultilingualNeural 4 (Male)pt-BR-ThalitaMultilingualNeural 4 (Female)pt-BR-BrendaNeural (Female)pt-BR-DonatoNeural (Male)pt-BR-ElzaNeural (Female)pt-BR-FabioNeural (Male)pt-BR-GiovannaNeural (Female)pt-BR-HumbertoNeural (Male)pt-BR-JulioNeural (Male)pt-BR-LeilaNeural (Female)pt-BR-LeticiaNeural (Female)pt-BR-ManuelaNeural (Female)pt-BR-NicolauNeural (Male)pt-BR-ThalitaNeural (Female)pt-BR-ValerioNeural (Male)pt-BR-YaraNeural (Female) |
pt-PT |
Portuguese (Portugal) | pt-PT-RaquelNeural (Female)pt-PT-DuarteNeural (Male)pt-PT-FernandaNeural (Female) |
ro-RO |
Romanian (Romania) | ro-RO-AlinaNeural (Female)ro-RO-EmilNeural (Male) |
ru-RU |
Russian (Russia) | ru-RU-SvetlanaNeural (Female)ru-RU-DmitryNeural (Male)ru-RU-DariyaNeural (Female) |
si-LK |
Sinhala (Sri Lanka) | si-LK-ThiliniNeural 3 (Female)si-LK-SameeraNeural 3 (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-UbaxNeural 3 (Female)so-SO-MuuseNeural 3 (Male) |
sq-AL |
Albanian (Albania) | sq-AL-AnilaNeural 3 (Female)sq-AL-IlirNeural 3 (Male) |
sr-LATN-RS |
Serbian (Latin, Serbia) | sr-Latn-RS-NicholasNeural 3 (Male)sr-Latn-RS-SophieNeural 3 (Female) |
sr-RS |
Serbian (Cyrillic, Serbia) | sr-RS-SophieNeural 3 (Female)sr-RS-NicholasNeural 3 (Male) |
su-ID |
Sundanese (Indonesia) | su-ID-TutiNeural 3 (Female)su-ID-JajangNeural 3 (Male) |
sv-SE |
Swedish (Sweden) | sv-SE-SofieNeural (Female)sv-SE-MattiasNeural (Male)sv-SE-HilleviNeural (Female) |
sw-KE |
Kiswahili (Kenya) | sw-KE-ZuriNeural 3 (Female)sw-KE-RafikiNeural 3 (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-MadinaNeural 3 (Female)uz-UZ-SardorNeural 3 (Male) |
vi-VN |
Vietnamese (Vietnam) | vi-VN-HoaiMyNeural (Female)vi-VN-NamMinhNeural (Male) |
wuu-CN |
Chinese (Wu, Simplified) | wuu-CN-XiaotongNeural 3 (Female)wuu-CN-YunzheNeural 3 (Male) |
yue-CN |
Chinese (Cantonese, Simplified) | yue-CN-XiaoMinNeural 3 (Female)yue-CN-YunSongNeural 3 (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-XiaochenMultilingualNeural 4 (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-XiaoxiaoMultilingualNeural 4 (Female)zh-cn-XiaoyanNeural (Female)zh-cn-XiaoyouNeural (Female, Child)zh-cn-XiaoyuMultilingualNeural 4 (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-YunyiMultilingualNeural 4 (Male)zh-cn-YunzeNeural (Male)zh-cn-YunfanMultilingualNeural 1,4 (Male)zh-cn-YunxiaoMultilingualNeural 1,4 (Male)zh-cn-Xiaochen:DragonHDLatestNeural 1 (Female)zh-cn-Yunfan:DragonHDLatestNeural 1 (Male) |
zh-cn-GUANGXI |
Chinese (Guangxi Accent Mandarin, Simplified) | zh-cn-guangxi-YunqiNeural 1,3 (Male) |
zh-cn-henan |
Chinese (Zhongyuan Mandarin Henan, Simplified) | zh-cn-henan-YundengNeural 3 (Male) |
zh-cn-liaoning |
Chinese (Northeastern Mandarin, Simplified) | zh-cn-liaoning-XiaobeiNeural 1,3 (Female)zh-cn-liaoning-YunbiaoNeural 1,3 (Male) |
zh-cn-shaanxi |
Chinese (Zhongyuan Mandarin Shaanxi, Simplified) | zh-cn-shaanxi-XiaoniNeural 1,3 (Female) |
zh-cn-shandong |
Chinese (Jilu Mandarin, Simplified) | zh-cn-shandong-YunxiangNeural 3 (Male) |
zh-cn-sichuan |
Chinese (Southwestern Mandarin, Simplified) | zh-cn-sichuan-YunxiNeural 1,3 (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-ThandoNeural 3 (Female)zu-ZA-ThembaNeural 3 (Male) |
1 The neural voice is not available in Microsoft Azure operated by 21Vianet.
2 The neural voice is not available in Microsoft Azure operated by 21Vianet.
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 aren't supported in Microsoft Azure operated by 21Vianet.
6 The zh-cn-XiaoxiaoDialectsNeural
voice also supports the following secondary locales: zh-cn-shaanxi
, zh-cn-sichuan
, zh-cn-shanxi
, zh-cn-anhui
, zh-cn-hunan
, zh-cn-gansu
, zh-cn-shandong
, zh-cn-henan
, zh-cn-liaoning
, zh-TW
, nan-CN
, yue-CN
, and wuu-CN
. To get the latest supported list of secondary locales, see the voice list API reference.
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-AdamMultilingualNeural 1,2 (Male)en-US-AmandaMultilingualNeural 1,2 (Female)en-US-AndrewMultilingualNeural 2 (Male)en-US-AvaMultilingualNeural 2 (Female)en-US-BrandonMultilingualNeural 1,2 (Male)en-US-BrianMultilingualNeural 2 (Male)en-US-ChristopherMultilingualNeural 1,2 (Male)en-US-CoraMultilingualNeural 1,2 (Female)en-US-DavisMultilingualNeural 1,2 (Male)en-US-DerekMultilingualNeural 1,2 (Male)en-US-DustinMultilingualNeural 1,2 (Male)en-US-EmmaMultilingualNeural 2 (Female)en-US-EvelynMultilingualNeural 1,2 (Female)en-US-LewisMultilingualNeural 1,2 (Male)en-US-LolaMultilingualNeural 1,2 (Female)en-US-NancyMultilingualNeural 1,2 (Female)en-US-PhoebeMultilingualNeural 1,2 (Female)en-US-SamuelMultilingualNeural 1,2 (Male)en-US-SerenaMultilingualNeural 1,2 (Female)en-US-SteffanMultilingualNeural 1,2 (Male)en-US-AlloyTurboMultilingualNeural 1,2 (Male)en-US-EchoTurboMultilingualNeural 1,2 (Male)en-US-FableTurboMultilingualNeural 1,2 (Neutral)en-US-NovaTurboMultilingualNeural 1,2 (Female)en-US-OnyxTurboMultilingualNeural 1,2 (Male)en-US-ShimmerTurboMultilingualNeural 1,2 (Female)en-GB-AdaMultilingualNeural 1,2 (Female)en-GB-OllieMultilingualNeural 1,2 (Male)de-DE-SeraphinaMultilingualNeural 2 (Female)de-DE-FlorianMultilingualNeural 2 (Male)es-ES-ArabellaMultilingualNeural 1,2 (Female)es-ES-IsidoraMultilingualNeural 1,2 (Female)es-ES-TristanMultilingualNeural 1,2 (Male)es-ES-XimenaMultilingualNeural 1,2 (Female)fr-FR-LucienMultilingualNeural 1,2 (Male)fr-FR-VivienneMultilingualNeural 2 (Female)fr-FR-RemyMultilingualNeural 2 (Male)it-IT-AlessioMultilingualNeural 1,2 (Male)it-IT-GiuseppeMultilingualNeural 1,2 (Male)it-IT-IsabellaMultilingualNeural 1,2 (Female)it-IT-MarcelloMultilingualNeural 1,2 (Male)ja-JP-MasaruMultilingualNeural 1,2 (Male)ko-KR-HyunsuMultilingualNeural 1,2 (Male)pt-BR-MacerioMultilingualNeural 1,2 (Male)pt-BR-ThalitaMultilingualNeural 1,2 (Female)zh-cn-XiaoxiaoMultilingualNeural 2 (Female)zh-cn-XiaochenMultilingualNeural 2 (Female)zh-cn-XiaoyuMultilingualNeural 2 (Female)zh-cn-YunyiMultilingualNeural 2 (Male)zh-cn-YunfanMultilingualNeural 1,2 (Male)zh-cn-YunxiaoMultilingualNeural 1,2 (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-JennyMultilingualNeural 2 (Female)en-US-RyanMultilingualNeural 2 (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, China) (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 not available in Microsoft Azure operated by 21Vianet .
2 The neural voice is a multilingual voice in Azure AI Speech. 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.
In some cases, you can adjust the speaking style to express different emotions like cheerfulness, empathy, and calm. All prebuilt voices with speaking styles 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-KaiNeural | conversation |
Not supported |
en-US-LunaNeural | 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 not available in Microsoft Azure operated by 21Vianet..
2 The advertisement-upbeat
style for this voice is not available in Microsoft Azure operated by 21Vianet.
3 The sports-commentary
style for this voice is not available in Microsoft Azure operated by 21Vianet.
4 The sports-commentary-excited
style for this voice is not available in Microsoft Azure operated by 21Vianet.
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, China) | Viseme ID Blend shapes |
en-IE | English (Ireland) | Viseme ID Blend shapes |
en-IN | English (India) | Viseme ID Blend shapes |
en-KE | English (Kenya) | Viseme ID Blend shapes |
en-NG | English (Nigeria) | Viseme ID Blend shapes |
en-NZ | English (New Zealand) | Viseme ID Blend shapes |
en-PH | English (Philippines) | Viseme ID Blend shapes |
en-SG | English (Singapore) | Viseme ID Blend shapes |
en-TZ | English (Tanzania) | Viseme ID Blend shapes |
en-US | English (United States) | Viseme ID Blend shapes Scalable vector graphics (SVG) |
en-ZA | English (South Africa) | Viseme ID Blend shapes |
es-AR | Spanish (Argentina) | Viseme ID Blend shapes |
es-BO | Spanish (Bolivia) | Viseme ID Blend shapes |
es-CL | Spanish (Chile) | Viseme ID Blend shapes |
es-CO | Spanish (Colombia) | Viseme ID Blend shapes |
es-CR | Spanish (Costa Rica) | Viseme ID Blend shapes |
es-CU | Spanish (Cuba) | Viseme ID Blend shapes |
es-DO | Spanish (Dominican Republic) | Viseme ID Blend shapes |
es-EC | Spanish (Ecuador) | Viseme ID Blend shapes |
es-ES | Spanish (Spain) | Viseme ID Blend shapes |
es-GQ | Spanish (Equatorial Guinea) | Viseme ID Blend shapes |
es-GT | Spanish (Guatemala) | Viseme ID Blend shapes |
es-HN | Spanish (Honduras) | Viseme ID Blend shapes |
es-MX | Spanish (Mexico) | Viseme ID Blend shapes |
es-NI | Spanish (Nicaragua) | Viseme ID Blend shapes |
es-PA | Spanish (Panama) | Viseme ID Blend shapes |
es-PE | Spanish (Peru) | Viseme ID Blend shapes |
es-PR | Spanish (Puerto Rico) | Viseme ID Blend shapes |
es-PY | Spanish (Paraguay) | Viseme ID Blend shapes |
es-SV | Spanish (El Salvador) | Viseme ID Blend shapes |
es-US | Spanish (United States) | Viseme ID Blend shapes |
es-UY | Spanish (Uruguay) | Viseme ID Blend shapes |
es-VE | Spanish (Venezuela) | Viseme ID Blend shapes |
fi-FI | Finnish (Finland) | Viseme ID |
fr-BE | French (Belgium) | Viseme ID Blend shapes |
fr-CA | French (Canada) | Viseme ID Blend shapes |
fr-CH | French (Switzerland) | Viseme ID Blend shapes |
fr-FR | French (France) | Viseme ID Blend shapes |
gu-IN | Gujarati (India) | Viseme ID |
he-IL | Hebrew (Israel) | Viseme ID |
hi-IN | Hindi (India) | Viseme ID |
hr-HR | Croatian (Croatia) | Viseme ID |
hu-HU | Hungarian (Hungary) | Viseme ID |
id-ID | Indonesian (Indonesia) | Viseme ID |
it-IT | Italian (Italy) | Viseme ID Blend shapes |
ja-JP | Japanese (Japan) | Viseme ID |
ko-KR | Korean (Korea) | Viseme ID |
mr-IN | Marathi (India) | Viseme ID |
ms-MY | Malay (Malaysia) | Viseme ID |
nb-NO | Norwegian Bokmål (Norway) | Viseme ID |
nl-BE | Dutch (Belgium) | Viseme ID |
nl-NL | Dutch (Netherlands) | Viseme ID |
pl-PL | Polish (Poland) | Viseme ID |
pt-BR | Portuguese (Brazil) | Viseme ID Blend shapes |
pt-PT | Portuguese (Portugal) | Viseme ID Blend shapes |
ro-RO | Romanian (Romania) | Viseme ID |
ru-RU | Russian (Russia) | Viseme ID |
sk-SK | Slovak (Slovakia) | Viseme ID |
sl-SI | Slovenian (Slovenia) | Viseme ID |
sv-SE | Swedish (Sweden) | Viseme ID |
sw-TZ | Swahili (Tanzania) | Viseme ID |
ta-IN | Tamil (India) | Viseme ID |
ta-LK | Tamil (Sri Lanka) | Viseme ID |
ta-MY | Tamil (Malaysia) | Viseme ID |
ta-SG | Tamil (Singapore) | Viseme ID |
te-IN | Telugu (India) | Viseme ID |
th-TH | Thai (Thailand) | Viseme ID |
tr-TR | Turkish (Türkiye) | Viseme ID |
uk-UA | Ukrainian (Ukraine) | Viseme ID |
ur-IN | Urdu (India) | Viseme ID |
ur-PK | Urdu (Pakistan) | Viseme ID |
vi-VN | Vietnamese (Vietnam) | Viseme ID |
zh-cn | Chinese (Mandarin, Simplified) | Viseme ID Blend shapes |
zh-HK | Chinese (Cantonese, Traditional) | Viseme ID |
zh-HK | Chinese (Taiwanese Mandarin, Traditional) | Viseme ID (except zh-TW-HsiaoYuNeural ) |
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). For more information, see the [Pricing](https://www.azure.cn/pricing/details/cognitive-services/ 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 toen-GB-MiaNeural
will be redirected toen-GB-SoniaNeural
automatically as of October 30, 2021. - The
en-US-JessaNeural
voice is retired and replaced byen-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 tozh-cn-XiaoxuanNeural
will be redirected tozh-cn-XiaoyiNeural
automatically as of February 29, 2024.
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 |
Tip
Try out the Azure AI Speech Toolkit to easily build and run samples on Visual Studio Code.
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.
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.
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 |
The table in this section summarizes the locales supported for Language identification.
Important
Language Identification compares speech at the language level, such as English and German. Don't include multiple locales of the same language in your candidate list.
Language | Locales (BCP-47) |
---|---|
Afrikaans | af-ZA |
Albanian | sq-AL |
Amharic | am-ET |
Arabic | ar-AE ar-BH ar-DZ ar-EG ar-IL ar-IQ ar-JO ar-KW ar-LB ar-LY ar-MA ar-OM ar-PS ar-QA ar-SA ar-SY ar-TN ar-YE |
Armenian | hy-AM |
Assamese | as-IN |
Azerbaijani | az-AZ |
Basque | eu-ES |
Bengali | bn-IN |
Bosnian | bs-BA |
Bulgarian | bg-BG |
Burmese | my-MM |
Catalan | ca-ES |
Chinese | wuu-CN yue-CN zh-cn zh-cn-shandong zh-cn-sichuan zh-HK zh-TW |
Croatian | hr-HR |
Czech | cs-CZ |
Danish | da-DK |
Dutch | nl-BE nl-NL |
English | en-AU en-CA en-GB en-GH en-HK en-IE en-IN en-KE en-NG en-NZ en-PH en-SG en-TZ en-US en-ZA |
Estonian | et-EE |
Filipino | fil-PH |
Finnish | fi-FI |
French | fr-BE fr-CA fr-CH fr-FR |
Galician | gl-ES |
Georgian | ka-GE |
German | de-AT de-CH de-DE |
Greek | el-GR |
Gujarati | gu-IN |
Hebrew | he-IL |
Hindi | hi-IN |
Hungarian | hu-HU |
Icelandic | is-IS |
Indonesian | id-ID |
Irish | ga-IE |
isiZulu | zu-ZA |
Italian | it-CH it-IT |
Japanese | ja-JP |
Javanese | jv-ID |
Kannada | kn-IN |
Kazakh | kk-KZ |
Khmer | km-KH |
Kiswahili | sw-KE sw-TZ |
Korean | ko-KR |
Lao | lo-LA |
Latvian | lv-LV |
Lithuanian | lt-LT |
Macedonian | mk-MK |
Malay | ml-IN ms-MY |
Malayalam | ml-IN |
Maltese | mt-MT |
Marathi | mr-IN |
Mongolian | mn-MN |
Nepali | ne-NP |
Norwegian Bokm�l | nb-NO |
Odia | or-IN |
Pashto | ps-AF |
Persian | fa-IR |
Polish | pl-PL |
Portuguese | pt-BR pt-PT |
Punjabi | pa-IN |
Romanian | ro-RO |
Russian | ru-RU |
Serbian | sr-RS |
Sinhala | si-LK |
Slovak | sk-SK |
Slovenian | sl-SI |
Somali | so-SO |
Spanish | es-AR es-BO es-CL es-CO es-CR es-CU es-DO es-EC es-ES es-GQ es-GT es-HN es-MX es-NI es-PA es-PE es-PR es-PY es-SV es-US es-UY es-VE |
Swedish | sv-SE |
Tamil | ta-IN |
Telugu | te-IN |
Thai | th-TH |
Turkish | tr-TR |
Ukrainian | uk-UA |
Urdu | ur-IN |
Uzbek | uz-UZ |
Vietnamese | vi-VN |
Welsh | cy-GB |
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 |