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Check out the details in the full language list.īy offering more voices across more languages and locales, we anticipate developers across the world will be able to build applications that change experiences for millions. Azure neural TTS now supports more than 60 languages off the shelf. To read aloud more content and reach more users, TTS needs to support various locales. Usually, the reading content is available in many different languages. Our studies repeatedly show that the read-aloud experience integrated with the highly natural voices on the Azure neural TTS platform can significantly increase the time that people spend on listening to the synthetic speech continuously, and greatly improve the effectiveness of their consumption of the audio content. With all these components, Azure neural TTS makes the listening experience much more enjoyable than the traditional TTS. Each component can be modeled by advanced neural deep learning networks: a neural text analysis module, which generates more correct pronunciations for TTS to speak a neural acoustic model, like uni-TTS which predicts prosody much better than the traditional TTS, and a neural vocoder, like HiFiNet which creates audios in higher fidelity. The AI based neural TTS voice technology has simplified the pipeline into three major components. There is no end-to-end optimization in between, so the quality is not optimal. Each step could involve human, expert rules or individual models. Why is neural TTS so much better? Traditional TTS is a multi-step pipeline, and a complex process. The benefit of using Azure neural TTS for read-aloudĪzure neural TTS allows you to choose from more than 140 highly realistic voices across 60 languages and variants that enables fluid, natural-sounding speech, with rich customization capabilities available at the same time. With Azure neural TTS, it is easy to implement your own read-aloud that is pleasant to listen to for your users. With all these examples and more, we’ve seen clear trending of providing voice experiences for users consuming content on the go, when multi-tasking, or for those who tend to read in an audible way.
TTS VOICES FOR ANDROID ANDROID
In specific, this feature supports a longer listening scenario for document consumption, now available with Word on Android and iOS. This is an eyes-off, potentially hands-off modern consumption experience for those who want to do multitask on the go. It has adopted Azure neural voices to read aloud content to students. Immersive reader is a free tool that uses proven techniques to improve reading for people regardless of their age or ability.The read-aloud voice quality has been enhanced with Azure neural TTS, which becomes the ‘favorite’ feature to many (Read the full article).
TTS VOICES FOR ANDROID PDF
TTS VOICES FOR ANDROID CODE
We’ll provide high level guidance and sample code to get you started, and we encourage you to play around with the code and get creative with your solution! In this blog, we’ll walk through an exercise which you can complete in under two hours, to get started using Azure neural TTS voices and enable your apps to read content aloud. The Text-to-Speech (TTS) capability of Speech on Azure Cognitive Services allows you to quickly create intelligent read-aloud experience for your scenarios. Voice is becoming increasingly popular in providing useful and engaging experiences for customers and employees. This post is co-authored with Yulin Li, Yinhe Wei, Qinying Liao, Yueying Liu, Sheng Zhao