Microsoft Speech Platform Download
Posted : admin On 16.12.2020Language support varies by Speech service functionality. The following tables summarize language support for Speech-to-text, Text-to-speech, and Speech translation service offerings.
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. HKEYLOCALMACHINE SOFTWARE WOW6432Node Microsoft SPEECH Voices Tokens Just to try, I've manually added Chinese and English language as additional languages (following the first link that I paste here) and that language will appear as I expected onto the Windows Registry Keys that I mentioned (and on the system). Update: Microsoft Speech Platform has been updated. See Microsoft Speech Platform - Languages 11 for more information. The following downloads contain the Microsoft Speech Recognition and Text-to-Speech engine data files for all currently supported languages for the Microsoft Speech Platform - Server Runtime 10.1.
Speech-to-text
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. To learn more about customization, see Get started with Custom Speech.
Click on Adaptation Data -> scroll down to section 'Pronunciation Datasets' -> Click on Import -> Locale: the list of locales there correspond to the supported locales-->| Language | Locale (BCP-47) | Customizations |
|---|---|---|
| Arabic (Bahrain), modern standard | ar-BH | Language model |
| Arabic (Egypt) | ar-EG | Language model |
| Arabic (Iraq) | ar-IQ | Language model |
| Arabic (Israel) | ar-IL | Language model |
| Arabic (Jordan) | ar-JO | Language model |
| Arabic (Kuwait) | ar-KW | Language model |
| Arabic (Lebanon) | ar-LB | Language model |
| Arabic (Oman) | ar-OM | Language model |
| Arabic (Qatar) | ar-QA | Language model |
| Arabic (Saudi Arabia) | ar-SA | Language model |
| Arabic (State of Palestine) | ar-PS | Language model |
| Arabic (Syria) | ar-SY | Language model |
| Arabic (United Arab Emirates) | ar-AE | Language model |
| Bulgarian (Bulgaria) | bg-BG | Language model |
| Catalan (Spain) | ca-ES | Language model |
| Chinese (Cantonese, Traditional) | zh-HK | Language model |
| Chinese (Mandarin, Simplified) | zh-CN | Acoustic model Language model |
| Chinese (Taiwanese Mandarin) | zh-TW | Language model |
| Croatian (Croatia) | hr-HR | Language model |
| Czech (Czech Republic) | cs-CZ | Language Model |
| Danish (Denmark) | da-DK | Language model |
| Dutch (Netherlands) | nl-NL | Language model |
| English (Australia) | en-AU | Acoustic model Language model |
| English (Canada) | en-CA | Acoustic model Language model |
| English (Hong Kong) | en-HK | Language Model |
| English (India) | en-IN | Acoustic model Language model |
| English (Ireland) | en-IE | Language Model |
| English (New Zealand) | en-NZ | Acoustic model Language model |
| English (Nigeria) | en-NG | Language Model |
| English (Philippines) | en-PH | Language Model |
| English (Singapore) | en-SG | Language Model |
| English (South Africa) | en-ZA | Language Model |
| English (United Kingdom) | en-GB | Acoustic model Language model Pronunciation |
| English (United States) | en-US | Acoustic model Language model Pronunciation |
| Estonian(Estonia) | et-EE | Language Model |
| Finnish (Finland) | fi-FI | Language model |
| French (Canada) | fr-CA | Acoustic model Language model |
| French (France) | fr-FR | Acoustic model Language model Pronunciation |
| German (Germany) | de-DE | Acoustic model Language model Pronunciation |
| Greek (Greece) | el-GR | Language model |
| Gujarati (Indian) | gu-IN | Language model |
| Hindi (India) | hi-IN | Acoustic model Language model |
| Hungarian (Hungary) | hu-HU | Language Model |
| Irish(Ireland) | ga-IE | Language model |
| Italian (Italy) | it-IT | Acoustic model Language model Pronunciation |
| Japanese (Japan) | ja-JP | Language model |
| Korean (Korea) | ko-KR | Language model |
| Latvian (Latvia) | lv-LV | Language model |
| Lithuanian (Lithuania) | lt-LT | Language model |
| Maltese(Malta) | mt-MT | Language model |
| Marathi (India) | mr-IN | Language model |
| Norwegian (Bokmål, Norway) | nb-NO | Language model |
| Polish (Poland) | pl-PL | Language model |
| Portuguese (Brazil) | pt-BR | Acoustic model Language model Pronunciation |
| Portuguese (Portugal) | pt-PT | Language model |
| Romanian (Romania) | ro-RO | Language model |
| Russian (Russia) | ru-RU | Acoustic model Language model |
| Slovak (Slovakia) | sk-SK | Language model |
| Slovenian (Slovenia) | sl-SI | Language model |
| Spanish (Argentina) | es-AR | Language Model |
| Spanish (Bolivia) | es-BO | Language Model |
| Spanish (Chile) | es-CL | Language Model |
| Spanish (Colombia) | es-CO | Language Model |
| Spanish (Costa Rica) | es-CR | Language Model |
| Spanish (Cuba) | es-CU | Language Model |
| Spanish (Dominican Republic) | es-DO | Language Model |
| Spanish (Ecuador) | es-EC | Language Model |
| Spanish (El Salvador) | es-SV | Language Model |
| Spanish (Equatorial Guinea) | es-GQ | Language Model |
| Spanish (Guatemala) | es-GT | Language Model |
| Spanish (Honduras) | es-HN | Language Model |
| Spanish (Mexico) | es-MX | Acoustic model Language model |
| Spanish (Nicaragua) | es-NI | Language Model |
| Spanish (Panama) | es-PA | Language Model |
| Spanish (Paraguay) | es-PY | Language Model |
| Spanish (Peru) | es-PE | Language Model |
| Spanish (Puerto Rico) | es-PR | Language Model |
| Spanish (Spain) | es-ES | Acoustic model Language model |
| Spanish (Uruguay) | es-UY | Language Model |
| Spanish (USA) | es-US | Language Model |
| Spanish (Venezuela) | es-VE | Language Model |
| Swedish (Sweden) | sv-SE | Language model |
| Tamil (India) | ta-IN | Language model |
| Telugu (India) | te-IN | Language model |
| Thai (Thailand) | th-TH | Language model |
| Turkish (Turkey) | tr-TR | Language model |
Text-to-speech
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.
Important
Pricing varies for standard, custom and neural voices. Please visit the Pricing page for additional information.
Neural voices
Download Microsoft Speech Platform Runtime X64
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. /antares-autotune-vst-crack.html.
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.
| Language | Locale | Gender | Voice name | Style support |
|---|---|---|---|---|
| Arabic (Egypt) | ar-EG | Female | ar-EG-SalmaNeural | General |
| Arabic (Egypt) | ar-EG | Male | ar-EG-ShakirNeuralNew | General |
| Arabic (Saudi Arabia) | ar-SA | Female | ar-SA-ZariyahNeural | General |
| Arabic (Saudi Arabia) | ar-SA | Male | ar-SA-HamedNeuralNew | General |
| Bulgarian (Bulgaria) | bg-BG | Female | bg-BG-KalinaNeural | General |
| Bulgarian (Bulgaria) | bg-BG | Male | bg-BG-BorislavNeuralNew | General |
| Catalan (Spain) | ca-ES | Female | ca-ES-AlbaNeural | General |
| Catalan (Spain) | ca-ES | Female | ca-ES-JoanaNeuralNew | General |
| Catalan (Spain) | ca-ES | Male | ca-ES-EnricNeuralNew | General |
| Chinese (Cantonese, Traditional) | zh-HK | Female | zh-HK-HiuGaaiNeural | General |
| Chinese (Cantonese, Traditional) | zh-HK | Female | zh-HK-HiuMaanNeuralNew | General |
| Chinese (Cantonese, Traditional) | zh-HK | Male | zh-HK-WanLungNeuralNew | 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 | Kid voice, optimized for story narrating |
| 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 (Taiwanese Mandarin) | zh-TW | Female | zh-TW-HsiaoChenNeuralNew | General |
| Chinese (Taiwanese Mandarin) | zh-TW | Female | zh-TW-HsiaoYuNeural | General |
| Chinese (Taiwanese Mandarin) | zh-TW | Male | zh-TW-YunJheNeuralNew | General |
| Croatian (Croatia) | hr-HR | Female | hr-HR-GabrijelaNeural | General |
| Croatian (Croatia) | hr-HR | Male | hr-HR-SreckoNeuralNew | General |
| Czech (Czech) | cs-CZ | Female | cs-CZ-VlastaNeural | General |
| Czech (Czech) | cs-CZ | Male | cs-CZ-AntoninNeuralNew | General |
| Danish (Denmark) | da-DK | Female | da-DK-ChristelNeural | General |
| Danish (Denmark) | da-DK | Male | da-DK-JeppeNeuralNew | General |
| Dutch (Netherlands) | nl-NL | Female | nl-NL-ColetteNeural | General |
| Dutch (Netherlands) | nl-NL | Female | nl-NL-FennaNeuralNew | General |
| Dutch (Netherlands) | nl-NL | Male | nl-NL-MaartenNeuralNew | 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-LiamNeuralNew | General |
| English (India) | en-IN | Female | en-IN-NeerjaNeural | General |
| English (India) | en-IN | Male | en-IN-PrabhatNeuralNew | General |
| English (Ireland) | en-IE | Female | en-IE-EmilyNeural | General |
| English (Ireland) | en-IE | Male | en-IE-ConnorNeuralNew | General |
| English (United Kingdom) | en-GB | Female | en-GB-LibbyNeural | General |
| English (United Kingdom) | en-GB | Female | en-GB-MiaNeural | 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 |
| English (United States) | en-US | Male | en-US-GuyNeural | General |
| Finnish (Finland) | fi-FI | Female | fi-FI-NooraNeural | General |
| Finnish (Finland) | fi-FI | Female | fi-FI-SelmaNeuralNew | General |
| Finnish (Finland) | fi-FI | Male | fi-FI-HarriNeuralNew | General |
| French (Canada) | fr-CA | Female | fr-CA-SylvieNeural | 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-FabriceNeuralNew | General |
| German (Austria) | de-AT | Female | de-AT-IngridNeural | General |
| German (Austria) | de-AT | Male | de-AT-JonasNeuralNew | 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-JanNeuralNew | General |
| Greek (Greece) | el-GR | Female | el-GR-AthinaNeural | General |
| Greek (Greece) | el-GR | Male | el-GR-NestorasNeuralNew | General |
| Hebrew (Israel) | he-IL | Female | he-IL-HilaNeural | General |
| Hebrew (Israel) | he-IL | Male | he-IL-AvriNeuralNew | General |
| Hindi (India) | hi-IN | Female | hi-IN-SwaraNeural | General |
| Hindi (India) | hi-IN | Male | hi-IN-MadhurNeuralNew | General |
| Hungarian (Hungary) | hu-HU | Female | hu-HU-NoemiNeural | General |
| Hungarian (Hungary) | hu-HU | Male | hu-HU-TamasNeuralNew | General |
| Indonesian (Indonesia) | id-ID | Female | id-ID-GadisNeuralNew | General |
| Indonesian (Indonesia) | id-ID | Male | id-ID-ArdiNeural | 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 |
| Malay (Malaysia) | ms-MY | Female | ms-MY-YasminNeural | General |
| Malay (Malaysia) | ms-MY | Male | ms-MY-OsmanNeuralNew | General |
| Norwegian (Bokmål, Norway) | nb-NO | Female | nb-NO-IselinNeural | General |
| Norwegian (Bokmål, Norway) | nb-NO | Female | nb-NO-PernilleNeuralNew | General |
| Norwegian (Bokmål, Norway) | nb-NO | Male | nb-NO-FinnNeuralNew | General |
| Polish (Poland) | pl-PL | Female | pl-PL-AgnieszkaNeuralNew | General |
| Polish (Poland) | pl-PL | Female | pl-PL-ZofiaNeural | General |
| Polish (Poland) | pl-PL | Male | pl-PL-MarekNeuralNew | 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-RaquelNeuralNew | General |
| Portuguese (Portugal) | pt-PT | Male | pt-PT-DuarteNeuralNew | General |
| Romanian (Romania) | ro-RO | Female | ro-RO-AlinaNeural | General |
| Romanian (Romania) | ro-RO | Male | ro-RO-EmilNeuralNew | General |
| Russian (Russia) | ru-RU | Female | ru-RU-DariyaNeural | General |
| Russian (Russia) | ru-RU | Female | ru-RU-SvetlanaNeuralNew | General |
| Russian (Russia) | ru-RU | Male | ru-RU-DmitryNeuralNew | General |
| Slovak (Slovakia) | sk-SK | Female | sk-SK-ViktoriaNeural | General |
| Slovak (Slovakia) | sk-SK | Male | sk-SK-LukasNeuralNew | General |
| Slovenian (Slovenia) | sl-SI | Female | sl-SI-PetraNeural | General |
| Slovenian (Slovenia) | sl-SI | Male | sl-SI-RokNeuralNew | 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 |
| Swedish (Sweden) | sv-SE | Female | sv-SE-HilleviNeural | General |
| Swedish (Sweden) | sv-SE | Female | sv-SE-SofieNeuralNew | General |
| Swedish (Sweden) | sv-SE | Male | sv-SE-MattiasNeuralNew | General |
| Tamil (India) | ta-IN | Female | ta-IN-PallaviNeural | General |
| Tamil (India) | ta-IN | Male | ta-IN-ValluvarNeuralNew | General |
| Telugu (India) | te-IN | Female | te-IN-ShrutiNeural | General |
| Telugu (India) | te-IN | Male | te-IN-MohanNeuralNew | 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-NiwatNeuralNew | General |
| Turkish (Turkey) | tr-TR | Female | tr-TR-EmelNeural | General |
| Turkish (Turkey) | tr-TR | Male | tr-TR-AhmetNeuralNew | General |
| Vietnamese (Vietnam) | vi-VN | Female | vi-VN-HoaiMyNeural | General |
| Vietnamese (Vietnam) | vi-VN | Male | vi-VN-NamMinhNeuralNew | General |
Neural voices in preview
Below neural voices are in public preview.
| Language | Locale | Gender | Voice name | Style support |
|---|---|---|---|---|
| Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaohanNeural | General, multiple styles available using SSML |
| 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-XiaoruiNeural | Senior voice, multiple 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 | Male | zh-CN-YunxiNeural | General, multiple styles available using SSML |
| Estonian (Estonia) | et-EE | Female | et-EE-AnuNeural | General |
| Estonian (Estonia) | et-EE | Male | et-EE-KertNeuralNew | General |
| Irish (Ireland) | ga-IE | Female | ga-IE-OrlaNeural | General |
| Irish (Ireland) | ga-IE | Male | ga-IE-ColmNeuralNew | General |
| Latvian (Latvia) | lv-LV | Female | lv-LV-EveritaNeural | General |
| Latvian (Latvia) | lv-LV | Male | lv-LV-NilsNeuralNew | General |
| Lithuanian (Lithuania) | lt-LT | Female | lt-LT-OnaNeural | General |
| Lithuanian (Lithuania) | lt-LT | Male | lt-LT-LeonasNeuralNew | General |
| Maltese (Malta) | mt-MT | Female | mt-MT-GraceNeural | General |
| Maltese (Malta) | mt-MT | Male | mt-MT-JosephNeuralNew | General |
Important
Voices in public preview are only available in 3 service regions: East US, West Europe and Southeast Asia.
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.
Microsoft Speech Platform Download Free
Important
The en-US-JessaNeural voice has changed to en-US-AriaNeural. If you were using 'Jessa' before, convert over to 'Aria'.
Tip
You can continue to use the full service name mapping like 'Microsoft Server Speech Text to Speech Voice (en-US, AriaNeural)' 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.
| 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-JessaRUS |
| 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 |
Important
The en-US-Jessa voice has changed to en-US-Aria. If you were using 'Jessa' before, convert over to 'Aria'.
Tip
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.
Customization
Voice customization is available for de-DE, en-GB, en-IN, en-US, es-MX, fr-FR, it-IT, pt-BR, and zh-CN. 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.
Note
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. Voice training in all locales starts with a data set of 2,000+ utterances, except for the en-US and zh-CN where you can start with any size of training data.
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
Microsoft Speech Platform Download Free
| 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 |