Custom Neural Voice has enabled a number of global companies to build realistic voices that resonate with their brands. What’s more, this powerful feature is also available in public preview on Custom Neural Voice, allowing customers to build a natural-sounding one-of-a-kind voice that speaks different languages. Learn how to use the multi-lingual capability of the voice with SSML. With this new voice, developers can easily enable their applications to speak multiple languages, without changing the persona. Nous avons hâte de travailler avec vous ! Wir freuen uns auf die Zusammenarbeit mit Ihnen!
Hear how Jenny Multilingual speaks different languages in the samples below:Įnglish (United States) – the default language
This new Jenny Multilingual voice (preview), with US English as the primary/default language, can speak 13 secondary languages, each at the fluent level: German (Germany), English (Australia), English (Canada), English (Canada), Spanish (Spain), Spanish (Mexico), French (Canada), French (France), Italian (Italy), Japanese (Japan), Korean (Korea), Portuguese (Brazil), Chinese (Mandarin, Simplified). To support the growing need for a single voice to speak multiple languages, particularly in scenarios such as localization and translation, a multi-lingual neural TTS voice is brought out in public preview. With the same voice persona across languages, organizations can keep their brand image more consistent.
Now more than ever, developers are expected to build voice-enabled applications that can reach a global audience. At the //Build 2021 conference, we are excited to announce several new features and improvements to TTS that address a variety of needs from customers globally.Ĭross-lingual adaptation (preview) enables the same voice to speak multiple languages Text to Speech (TTS), part of Speech in Azure Cognitive Services, enables developers to convert text to lifelike speech for more natural interfaces with a rich choice of prebuilt voices and powerful customization capabilities. By: Garfield He, Melinda Ma, Melissa Ma, Bohan Li, Qinying Liao, Sheng Zhao, Yueying Liu
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