Language and voice support for the Speech service

Language support varies by Speech service functionality. The following tables summarize language support for Speech-to-text, Text-to-speech, and Speech translation service offerings.


Both the Microsoft Speech SDK and the REST API support the following languages (locales).

To improve accuracy, customization is offered for a subset of the languages through uploading Audio + Human-labeled Transcripts or Related Text: Sentences. Support for customization of the acoustic model with Audio + Human-labeled Transcripts is limited to the specific base models listed below. Other base models and languages will only use the text of the transcripts to train custom models just like with Related Text: Sentences. To learn more about customization, see Get started with Custom Speech.

Language Locale (BCP-47) Customizations Language identification Pronunciation assessment
Arabic (Algeria) ar-DZ Text
Arabic (Bahrain), modern standard ar-BH Text
Arabic (Egypt) ar-EG Text Yes
Arabic (Iraq) ar-IQ Text
Arabic (Israel) ar-IL Text
Arabic (Jordan) ar-JO Text
Arabic (Kuwait) ar-KW Text
Arabic (Lebanon) ar-LB Text
Arabic (Libya) ar-LY Text
Arabic (Morocco) ar-MA Text
Arabic (Oman) ar-OM Text
Arabic (Qatar) ar-QA Text
Arabic (Saudi Arabia) ar-SA Text
Arabic (Palestinian Authority) ar-PS Text
Arabic (Syria) ar-SY Text
Arabic (Tunisia) ar-TN Text
Arabic (United Arab Emirates) ar-AE Text
Arabic (Yemen) ar-YE Text
Bulgarian (Bulgaria) bg-BG Text
Catalan (Spain) ca-ES Text
Chinese (Cantonese, Traditional) zh-HK Audio (20201015)
Chinese (Mandarin, Simplified) zh-CN Audio (20200910)
Yes Yes
Chinese (Taiwanese Mandarin) zh-TW Audio (20190701, 20201015)
Croatian (Croatia) hr-HR Text
Czech (Czech Republic) cs-CZ Text
Danish (Denmark) da-DK Text
Dutch (Netherlands) nl-NL Audio (20201015)
English (Australia) en-AU Audio (20201019)
English (Canada) en-CA Audio (20201019)
English (Ghana) en-GH Text
English (Hong Kong) en-HK Text
English (India) en-IN Audio (20200923)
English (Ireland) en-IE Text
English (Kenya) en-KE Text
English (New Zealand) en-NZ Audio (20201019)
English (Nigeria) en-NG Text
English (Philippines) en-PH Text
English (Singapore) en-SG Text
English (South Africa) en-ZA Text
English (Tanzania) en-TZ Text
English (United Kingdom) en-GB Audio (20201019)
Yes Yes
English (United States) en-US Audio (20201019, 20210223)
Yes Yes
Estonian(Estonia) et-EE Text
Filipino (Philippines) fil-PH Text
Finnish (Finland) fi-FI Text
French (Canada) fr-CA Audio (20201015)
French (France) fr-FR Audio (20201015)
French (Switzerland) fr-CH Text
German (Austria) de-AT Text
German (Germany) de-DE Audio (20190701, 20200619, 20201127)
Greek (Greece) el-GR Text Yes
Gujarati (Indian) gu-IN Text
Hebrew (Israel) he-IL Text
Hindi (India) hi-IN Audio (20200701)
Hungarian (Hungary) hu-HU Text
Indonesian (Indonesia) id-ID Text
Irish (Ireland) ga-IE Text
Italian (Italy) it-IT Audio (20201016)
Japanese (Japan) ja-JP Text Yes
Korean (Korea) ko-KR Audio (20201015)
Latvian (Latvia) lv-LV Text
Lithuanian (Lithuania) lt-LT Text
Malay (Malaysia) ms-MY Text
Maltese (Malta) mt-MT Text
Marathi (India) mr-IN Text
Norwegian (Bokmål, Norway) nb-NO Text Yes
Persian (Iran) fa-IR Text
Polish (Poland) pl-PL Text
Portuguese (Brazil) pt-BR Audio (20190620, 20201015)
Portuguese (Portugal) pt-PT Text
Romanian (Romania) ro-RO Text
Russian (Russia) ru-RU Audio (20200907)
Slovak (Slovakia) sk-SK Text
Slovenian (Slovenia) sl-SI Text
Spanish (Argentina) es-AR Text
Spanish (Bolivia) es-BO Text
Spanish (Chile) es-CL Text
Spanish (Colombia) es-CO Text
Spanish (Costa Rica) es-CR Text
Spanish (Cuba) es-CU Text
Spanish (Dominican Republic) es-DO Text
Spanish (Ecuador) es-EC Text
Spanish (El Salvador) es-SV Text
Spanish (Equatorial Guinea) es-GQ Text
Spanish (Guatemala) es-GT Text
Spanish (Honduras) es-HN Text
Spanish (Mexico) es-MX Audio (20200907)
Spanish (Nicaragua) es-NI Text
Spanish (Panama) es-PA Text
Spanish (Paraguay) es-PY Text
Spanish (Peru) es-PE Text
Spanish (Puerto Rico) es-PR Text
Spanish (Spain) es-ES Audio (20201015)
Spanish (Uruguay) es-UY Text
Spanish (USA) es-US Text
Spanish (Venezuela) es-VE Text
Swahili (Kenya) sw-KE Text
Swedish (Sweden) sv-SE Text
Tamil (India) ta-IN Text
Telugu (India) te-IN Text
Thai (Thailand) th-TH Text Yes
Turkish (Turkey) tr-TR Text
Vietnamese (Vietnam) vi-VN Text


Both the Microsoft Speech SDK and REST APIs support these voices, each of which supports a specific language and dialect, identified by locale. You can also get a full list of languages and voices supported for each specific region/endpoint through the voices list API.


Pricing varies for standard, custom and neural voices. Please visit the Pricing page for additional information.

Neural voices

Neural text-to-speech is a new type of speech synthesis powered by deep neural networks. When using a neural voice, synthesized speech is nearly indistinguishable from the human recordings.

Neural voices can be used to make interactions with chatbots and voice assistants more natural and engaging, convert digital texts such as e-books into audiobooks and enhance in-car navigation systems. With the human-like natural prosody and clear articulation of words, neural voices significantly reduce listening fatigue when users interact with AI systems.


Neural voices are created from samples that use a 24 khz sample rate. All voices can upsample or downsample to other sample rates when synthesizing.

Language Locale Gender Voice name Style support
Arabic (Egypt) ar-EG Female ar-EG-SalmaNeural General
Arabic (Egypt) ar-EG Male ar-EG-ShakirNeural General
Arabic (Saudi Arabia) ar-SA Female ar-SA-ZariyahNeural General
Arabic (Saudi Arabia) ar-SA Male ar-SA-HamedNeural General
Bulgarian (Bulgaria) bg-BG Female bg-BG-KalinaNeural General
Bulgarian (Bulgaria) bg-BG Male bg-BG-BorislavNeural General
Catalan (Spain) ca-ES Female ca-ES-AlbaNeural General
Catalan (Spain) ca-ES Female ca-ES-JoanaNeural General
Catalan (Spain) ca-ES Male ca-ES-EnricNeural General
Chinese (Cantonese, Traditional) zh-HK Female zh-HK-HiuGaaiNeural General
Chinese (Cantonese, Traditional) zh-HK Female zh-HK-HiuMaanNeural General
Chinese (Cantonese, Traditional) zh-HK Male zh-HK-WanLungNeural General
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoxiaoNeural General, multiple voice styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoyouNeural Child voice, optimized for story narrating
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaomoNeural General, multiple role-play and styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoxuanNeural General, multiple role-play and styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaohanNeural General, multiple styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoruiNeural Senior voice, multiple styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-YunyangNeural Optimized for news reading,
multiple voice styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-YunyeNeural Optimized for story narrating
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-YunxiNeural General, multiple styles available using SSML
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-HsiaoChenNeural General
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-HsiaoYuNeural General
Chinese (Taiwanese Mandarin) zh-TW Male zh-TW-YunJheNeural General
Croatian (Croatia) hr-HR Female hr-HR-GabrijelaNeural General
Croatian (Croatia) hr-HR Male hr-HR-SreckoNeural General
Czech (Czech) cs-CZ Female cs-CZ-VlastaNeural General
Czech (Czech) cs-CZ Male cs-CZ-AntoninNeural General
Danish (Denmark) da-DK Female da-DK-ChristelNeural General
Danish (Denmark) da-DK Male da-DK-JeppeNeural General
Dutch (Belgium) nl-BE Female nl-BE-DenaNeural General
Dutch (Belgium) nl-BE Male nl-BE-ArnaudNeural General
Dutch (Netherlands) nl-NL Female nl-NL-ColetteNeural General
Dutch (Netherlands) nl-NL Female nl-NL-FennaNeural General
Dutch (Netherlands) nl-NL Male nl-NL-MaartenNeural General
English (Australia) en-AU Female en-AU-NatashaNeural General
English (Australia) en-AU Male en-AU-WilliamNeural General
English (Canada) en-CA Female en-CA-ClaraNeural General
English (Canada) en-CA Male en-CA-LiamNeural General
English (Hongkong) en-HK Female en-HK-YanNeural New General
English (Hongkong) en-HK Male en-HK-SamNeural New General
English (India) en-IN Female en-IN-NeerjaNeural General
English (India) en-IN Male en-IN-PrabhatNeural General
English (Ireland) en-IE Female en-IE-EmilyNeural General
English (Ireland) en-IE Male en-IE-ConnorNeural General
English (New Zealand) en-NZ Female en-NZ-MollyNeural New General
English (New Zealand) en-NZ Male en-NZ-MitchellNeural New General
English (Philippines) en-PH Female en-PH-RosaNeural General
English (Philippines) en-PH Male en-PH-JamesNeural General
English (Singapore) en-SG Female en-SG-LunaNeural New General
English (Singapore) en-SG Male en-SG-WayneNeural New General
English (South Africa) en-ZA Female en-ZA-LeahNeural New General
English (South Africa) en-ZA Male en-ZA-LukeNeural New General
English (United Kingdom) en-GB Female en-GB-LibbyNeural General
English (United Kingdom) en-GB Female en-GB-SoniaNeural New General
English (United Kingdom) en-GB Female en-GB-MiaNeural Retires Oct 15, see below General
English (United Kingdom) en-GB Male en-GB-RyanNeural General
English (United States) en-US Female en-US-AriaNeural General, multiple voice styles available using SSML
English (United States) en-US Female en-US-JennyNeural General, multiple voice styles available using SSML
English (United States) en-US Male en-US-GuyNeural General, multiple voice styles available using SSML
English (United States) en-US Female en-US-SaraNeural New General, multiple voice styles available using SSML
English (United States) en-US Female en-US-AmberNeural General
English (United States) en-US Female en-US-AshleyNeural General
English (United States) en-US Female en-US-CoraNeural General
English (United States) en-US Female en-US-ElizabethNeural General
English (United States) en-US Female en-US-MichelleNeural General
English (United States) en-US Female en-US-MonicaNeural General
English (United States) en-US Kid en-US-AnaNeural General
English (United States) en-US Male en-US-BrandonNeural General
English (United States) en-US Male en-US-ChristopherNeural General
English (United States) en-US Male en-US-JacobNeural General
English (United States) en-US Male en-US-EricNeural General
Estonian (Estonia) et-EE Female et-EE-AnuNeural General
Estonian (Estonia) et-EE Male et-EE-KertNeural General
Finnish (Finland) fi-FI Female fi-FI-NooraNeural General
Finnish (Finland) fi-FI Female fi-FI-SelmaNeural General
Finnish (Finland) fi-FI Male fi-FI-HarriNeural General
French (Belgium) fr-BE Female fr-BE-CharlineNeural General
French (Belgium) fr-BE Male fr-BE-GerardNeural General
French (Canada) fr-CA Female fr-CA-SylvieNeural General
French (Canada) fr-CA Male fr-CA-AntoineNeural General
French (Canada) fr-CA Male fr-CA-JeanNeural General
French (France) fr-FR Female fr-FR-DeniseNeural General
French (France) fr-FR Male fr-FR-HenriNeural General
French (Switzerland) fr-CH Female fr-CH-ArianeNeural General
French (Switzerland) fr-CH Male fr-CH-FabriceNeural General
German (Austria) de-AT Female de-AT-IngridNeural General
German (Austria) de-AT Male de-AT-JonasNeural General
German (Germany) de-DE Female de-DE-KatjaNeural General
German (Germany) de-DE Male de-DE-ConradNeural General
German (Switzerland) de-CH Female de-CH-LeniNeural General
German (Switzerland) de-CH Male de-CH-JanNeural General
Greek (Greece) el-GR Female el-GR-AthinaNeural General
Greek (Greece) el-GR Male el-GR-NestorasNeural General
Gujarati (India) gu-IN Female gu-IN-DhwaniNeural New General
Gujarati (India) gu-IN Male gu-IN-NiranjanNeural New General
Hebrew (Israel) he-IL Female he-IL-HilaNeural General
Hebrew (Israel) he-IL Male he-IL-AvriNeural General
Hindi (India) hi-IN Female hi-IN-SwaraNeural General
Hindi (India) hi-IN Male hi-IN-MadhurNeural General
Hungarian (Hungary) hu-HU Female hu-HU-NoemiNeural General
Hungarian (Hungary) hu-HU Male hu-HU-TamasNeural General
Indonesian (Indonesia) id-ID Female id-ID-GadisNeural General
Indonesian (Indonesia) id-ID Male id-ID-ArdiNeural General
Irish (Ireland) ga-IE Female ga-IE-OrlaNeural General
Irish (Ireland) ga-IE Male ga-IE-ColmNeural General
Italian (Italy) it-IT Female it-IT-ElsaNeural General
Italian (Italy) it-IT Female it-IT-IsabellaNeural General
Italian (Italy) it-IT Male it-IT-DiegoNeural General
Japanese (Japan) ja-JP Female ja-JP-NanamiNeural General
Japanese (Japan) ja-JP Male ja-JP-KeitaNeural General
Korean (Korea) ko-KR Female ko-KR-SunHiNeural General
Korean (Korea) ko-KR Male ko-KR-InJoonNeural General
Latvian (Latvia) lv-LV Female lv-LV-EveritaNeural General
Latvian (Latvia) lv-LV Male lv-LV-NilsNeural General
Lithuanian (Lithuania) lt-LT Female lt-LT-OnaNeural General
Lithuanian (Lithuania) lt-LT Male lt-LT-LeonasNeural General
Malay (Malaysia) ms-MY Female ms-MY-YasminNeural General
Malay (Malaysia) ms-MY Male ms-MY-OsmanNeural General
Maltese (Malta) mt-MT Female mt-MT-GraceNeural General
Maltese (Malta) mt-MT Male mt-MT-JosephNeural General
Marathi (India) mr-IN Female mr-IN-AarohiNeural New General
Marathi (India) mr-IN Male mr-IN-ManoharNeural New General
Norwegian (Bokmål, Norway) nb-NO Female nb-NO-IselinNeural General
Norwegian (Bokmål, Norway) nb-NO Female nb-NO-PernilleNeural General
Norwegian (Bokmål, Norway) nb-NO Male nb-NO-FinnNeural General
Polish (Poland) pl-PL Female pl-PL-AgnieszkaNeural General
Polish (Poland) pl-PL Female pl-PL-ZofiaNeural General
Polish (Poland) pl-PL Male pl-PL-MarekNeural General
Portuguese (Brazil) pt-BR Female pt-BR-FranciscaNeural General, multiple voice styles available using SSML
Portuguese (Brazil) pt-BR Male pt-BR-AntonioNeural General
Portuguese (Portugal) pt-PT Female pt-PT-FernandaNeural General
Portuguese (Portugal) pt-PT Female pt-PT-RaquelNeural General
Portuguese (Portugal) pt-PT Male pt-PT-DuarteNeural General
Romanian (Romania) ro-RO Female ro-RO-AlinaNeural General
Romanian (Romania) ro-RO Male ro-RO-EmilNeural General
Russian (Russia) ru-RU Female ru-RU-DariyaNeural General
Russian (Russia) ru-RU Female ru-RU-SvetlanaNeural General
Russian (Russia) ru-RU Male ru-RU-DmitryNeural General
Slovak (Slovakia) sk-SK Female sk-SK-ViktoriaNeural General
Slovak (Slovakia) sk-SK Male sk-SK-LukasNeural General
Slovenian (Slovenia) sl-SI Female sl-SI-PetraNeural General
Slovenian (Slovenia) sl-SI Male sl-SI-RokNeural General
Spanish (Argentina) es-AR Female es-AR-ElenaNeural New General
Spanish (Argentina) es-AR Male es-AR-TomasNeural New General
Spanish (Colombia) es-CO Female es-CO-SalomeNeural New General
Spanish (Colombia) es-CO Male es-CO-GonzaloNeural New General
Spanish (Mexico) es-MX Female es-MX-DaliaNeural General
Spanish (Mexico) es-MX Male es-MX-JorgeNeural General
Spanish (Spain) es-ES Female es-ES-ElviraNeural General
Spanish (Spain) es-ES Male es-ES-AlvaroNeural General
Spanish (US) es-US Female es-US-PalomaNeural New General
Spanish (US) es-US Male es-US-AlonsoNeural New General
Swahili (Kenya) sw-KE Female sw-KE-ZuriNeural New General
Swahili (Kenya) sw-KE Male sw-KE-RafikiNeural New General
Swedish (Sweden) sv-SE Female sv-SE-HilleviNeural General
Swedish (Sweden) sv-SE Female sv-SE-SofieNeural General
Swedish (Sweden) sv-SE Male sv-SE-MattiasNeural General
Tamil (India) ta-IN Female ta-IN-PallaviNeural General
Tamil (India) ta-IN Male ta-IN-ValluvarNeural General
Telugu (India) te-IN Female te-IN-ShrutiNeural General
Telugu (India) te-IN Male te-IN-MohanNeural General
Thai (Thailand) th-TH Female th-TH-AcharaNeural General
Thai (Thailand) th-TH Female th-TH-PremwadeeNeural General
Thai (Thailand) th-TH Male th-TH-NiwatNeural General
Turkish (Turkey) tr-TR Female tr-TR-EmelNeural General
Turkish (Turkey) tr-TR Male tr-TR-AhmetNeural General
Ukrainian (Ukraine) uk-UA Female uk-UA-PolinaNeural General
Ukrainian (Ukraine) uk-UA Male uk-UA-OstapNeural General
Urdu (Pakistan) ur-PK Female ur-PK-UzmaNeural General
Urdu (Pakistan) ur-PK Male ur-PK-AsadNeural General
Vietnamese (Vietnam) vi-VN Female vi-VN-HoaiMyNeural General
Vietnamese (Vietnam) vi-VN Male vi-VN-NamMinhNeural General
Welsh (United Kingdom) cy-GB Female cy-GB-NiaNeural General
Welsh (United Kingdom) cy-GB Male cy-GB-AledNeural General


The English (United Kingdom) voice en-GB-MiaNeural will be retired on October 30th, 2021. All service requests to en-GB-MiaNeural will be re-directed to en-GB-SoniaNeural automatically after October 30th, 2021.

Neural voices in preview

Below neural voices are in public preview.

Language Locale Gender Voice name Style support
English (United States) en-US Female en-US-JennyMultilingualNeural New General,multi-lingual capabilities available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaochenNeural New Optimized for spontaneous conversation
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoyanNeural New Optimized for customer service
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoshuangNeural New Child voice,optimized for child story and chat; multiple voice styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoqiuNeural New Optimized for narrating


Voices in public preview are only available in 3 service regions: East US, West Europe and Southeast Asia.


en-US-JennyNeuralMultilingual supports multiple languages. Check the voices list API for supported languages list.

For more information about regional availability, see regions.

To learn how you can configure and adjust neural voices, such as Speaking Styles, see Speech Synthesis Markup Language.


The en-US-JessaNeural voice has changed to en-US-AriaNeural. If you were using "Jessa" before, convert over to "Aria".


You can continue to use the full service name mapping like "Microsoft Server Speech Text to Speech Voice (en-US, ChristopherNeural)" in your speech synthesis requests.

Standard voices

More than 75 standard voices are available in over 45 languages and locales, which allow you to convert text into synthesized speech. For more information about regional availability, see regions.


We are retiring the standard voices on 31st August 2024 and they will no longer be supported after that date. We announced this in emails sent to all existing Speech subscriptions created before 31st August 2021. During the retiring period (31st August 2021 - 31st August 2024), existing standard voice users can continue to use standard voices, but all new users/new speech resources must choose neural voices.


With two exceptions, standard voices are created from samples that use a 16 khz sample rate. The en-US-AriaRUS and en-US-GuyRUS voices are also created from samples that use a 24 khz sample rate. All voices can upsample or downsample to other sample rates when synthesizing.

Language Locale (BCP-47) Gender Voice name
Arabic (Arabic ) ar-EG Female ar-EG-Hoda
Arabic (Saudi Arabia) ar-SA Male ar-SA-Naayf
Bulgarian (Bulgaria) bg-BG Male bg-BG-Ivan
Catalan (Spain) ca-ES Female ca-ES-HerenaRUS
Chinese (Cantonese, Traditional) zh-HK Male zh-HK-Danny
Chinese (Cantonese, Traditional) zh-HK Female zh-HK-TracyRUS
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-HuihuiRUS
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-Kangkang
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-Yaoyao
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-HanHanRUS
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-Yating
Chinese (Taiwanese Mandarin) zh-TW Male zh-TW-Zhiwei
Croatian (Croatia) hr-HR Male hr-HR-Matej
Czech (Czech Republic) cs-CZ Male cs-CZ-Jakub
Danish (Denmark) da-DK Female da-DK-HelleRUS
Dutch (Netherlands) nl-NL Female nl-NL-HannaRUS
English (Australia) en-AU Female en-AU-Catherine
English (Australia) en-AU Female en-AU-HayleyRUS
English (Canada) en-CA Female en-CA-HeatherRUS
English (Canada) en-CA Female en-CA-Linda
English (India) en-IN Female en-IN-Heera
English (India) en-IN Female en-IN-PriyaRUS
English (India) en-IN Male en-IN-Ravi
English (Ireland) en-IE Male en-IE-Sean
English (United Kingdom) en-GB Male en-GB-George
English (United Kingdom) en-GB Female en-GB-HazelRUS
English (United Kingdom) en-GB Female en-GB-Susan
English (United States) en-US Male en-US-BenjaminRUS
English (United States) en-US Male en-US-GuyRUS
English (United States) en-US Female en-US-AriaRUS
English (United States) en-US Female en-US-ZiraRUS
Finnish (Finland) fi-FI Female fi-FI-HeidiRUS
French (Canada) fr-CA Female fr-CA-Caroline
French (Canada) fr-CA Female fr-CA-HarmonieRUS
French (France) fr-FR Female fr-FR-HortenseRUS
French (France) fr-FR Female fr-FR-Julie
French (France) fr-FR Male fr-FR-Paul
French (Switzerland) fr-CH Male fr-CH-Guillaume
German (Austria) de-AT Male de-AT-Michael
German (Germany) de-DE Female de-DE-HeddaRUS
German (Germany) de-DE Male de-DE-Stefan
German (Switzerland) de-CH Male de-CH-Karsten
Greek (Greece) el-GR Male el-GR-Stefanos
Hebrew (Israel) he-IL Male he-IL-Asaf
Hindi (India) hi-IN Male hi-IN-Hemant
Hindi (India) hi-IN Female hi-IN-Kalpana
Hungarian (Hungary) hu-HU Male hu-HU-Szabolcs
Indonesian (Indonesia) id-ID Male id-ID-Andika
Italian (Italy) it-IT Male it-IT-Cosimo
Italian (Italy) it-IT Female it-IT-LuciaRUS
Japanese (Japan) ja-JP Female ja-JP-Ayumi
Japanese (Japan) ja-JP Female ja-JP-HarukaRUS
Japanese (Japan) ja-JP Male ja-JP-Ichiro
Korean (Korea) ko-KR Female ko-KR-HeamiRUS
Malay (Malaysia) ms-MY Male ms-MY-Rizwan
Norwegian (Bokmål, Norway) nb-NO Female nb-NO-HuldaRUS
Polish (Poland) pl-PL Female pl-PL-PaulinaRUS
Portuguese (Brazil) pt-BR Male pt-BR-Daniel
Portuguese (Brazil) pt-BR Female pt-BR-HeloisaRUS
Portuguese (Portugal) pt-PT Female pt-PT-HeliaRUS
Romanian (Romania) ro-RO Male ro-RO-Andrei
Russian (Russia) ru-RU Female ru-RU-EkaterinaRUS
Russian (Russia) ru-RU Female ru-RU-Irina
Russian (Russia) ru-RU Male ru-RU-Pavel
Slovak (Slovakia) sk-SK Male sk-SK-Filip
Slovenian (Slovenia) sl-SI Male sl-SI-Lado
Spanish (Mexico) es-MX Female es-MX-HildaRUS
Spanish (Mexico) es-MX Male es-MX-Raul
Spanish (Spain) es-ES Female es-ES-HelenaRUS
Spanish (Spain) es-ES Female es-ES-Laura
Spanish (Spain) es-ES Male es-ES-Pablo
Swedish (Sweden) sv-SE Female sv-SE-HedvigRUS
Tamil (India) ta-IN Male ta-IN-Valluvar
Telugu (India) te-IN Female te-IN-Chitra
Thai (Thailand) th-TH Male th-TH-Pattara
Turkish (Turkey) tr-TR Female tr-TR-SedaRUS
Vietnamese (Vietnam) vi-VN Male vi-VN-An


The en-US-Jessa voice has changed to en-US-Aria. If you were using "Jessa" before, convert over to "Aria".


You can continue to use the full service name mapping like "Microsoft Server Speech Text to Speech Voice (en-US, AriaRUS)" in your speech synthesis requests.


Custom Voice is available in the neural tier (a.k.a, Custom Neural Voice). Based on the Neural TTS technology and the multi-lingual multi-speaker universal model, Custom Neural Voice lets you create synthetic voices that are rich in speaking styles, or adaptable cross languages. Check below for the languages supported.


The standard tier including the statistical parametric and the concatenative training methods of custom voice is being deprecated and will be retired on 2/29/2024. If you are using non-neural/standard Custom Voice, migrate to Custom Neural Voice immediately to enjoy the better quality and deploy the voices responsibly.

Language Locale Neural Cross-lingual
Bulgarian (Bulgaria) bg-BG Yes No
Chinese (Mandarin, Simplified) zh-CN Yes Yes
Chinese (Mandarin, Simplified), English bilingual zh-CN bilingual Yes Yes
Dutch (Netherlands) nl-NL Yes No
English (Australia) en-AU Yes Yes
English (India) en-IN Yes No
English (United Kingdom) en-GB Yes Yes
English (United States) en-US Yes Yes
French (Canada) fr-CA Yes Yes
French (France) fr-FR Yes Yes
German (Germany) de-DE Yes Yes
Italian (Italy) it-IT Yes Yes
Japanese (Japan) ja-JP Yes Yes
Korean (Korea) ko-KR Yes Yes
Norwegian (Bokmål, Norway) nb-NO Yes No
Portuguese (Brazil) pt-BR Yes Yes
Russian (Russia) ru-RU Yes Yes
Spanish (Mexico) es-MX Yes Yes
Spanish (Spain) es-ES Yes Yes

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


We do not support bi-lingual model training in Custom Voice, except for the Chinese-English bi-lingual. Select "Chinese-English bilingual" if you want to train a Chinese voice that can speak English as well. Chinese-English bilingual model training using the standard method is available in North Europe and North Central US only. Custom Neural Voice training is available in UK South and East US.

Speech translation

The Speech Translation API supports different languages for speech-to-speech and speech-to-text translation. The source language must always be from the Speech-to-text language table. The available target languages depend on whether the translation target is speech or text. You may translate incoming speech into more than 60 languages. A subset of languages are available for speech synthesis.

Text languages

Text language Language code
Afrikaans af
Arabic ar
Bangla bn
Bosnian (Latin) bs
Bulgarian bg
Cantonese (Traditional) yue
Catalan ca
Chinese Simplified zh-Hans
Chinese Traditional zh-Hant
Croatian hr
Czech cs
Danish da
Dutch nl
English en
Estonian et
Fijian fj
Filipino fil
Finnish fi
French fr
German de
Greek el
Gujarati gu
Haitian Creole ht
Hebrew he
Hindi hi
Hmong Daw mww
Hungarian hu
Indonesian id
Irish ga
Italian it
Japanese ja
Kannada kn
Kiswahili sw
Klingon tlh-Latn
Klingon (plqaD) tlh-Piqd
Korean ko
Latvian lv
Lithuanian lt
Malagasy mg
Malay ms
Malayalam ml
Maltese mt
Maori mi
Marathi mr
Norwegian nb
Persian fa
Polish pl
Portuguese (Brazil) pt-br
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
Swedish sv
Tahitian ty
Tamil ta
Telugu te
Thai th
Tongan to
Turkish tr
Ukrainian uk
Urdu ur
Vietnamese vi
Welsh cy
Yucatec Maya yua

Speaker Recognition

See the following table for supported languages for the various Speaker Recognition APIs. See the overview for additional information on Speaker Recognition.

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 (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 and Keyword Verification

The following table outlines supported languages 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

Next steps