![]() ![]() The new speaking styles include 8 emotions, in addition to shouting and whispering. Today we are excited to announce the release of 5 new neural voices in American English (en-US) and introduce 10 new speaking styles. To better support the diverse customer use cases and make their voice experience even more natural, a richer selection of voice options and a variety of speaking styles especially emotions become critical. Check out these customer stories featuring companies like Vodafone, Vegas and Pearson that are using Neural TTS to transform their business. You can convert text to speech in ways that mirror natural speaking styles.īusinesses have utilized Neural TTS in various scenarios, such as voice assistants, video games, online-learning, accessibility tools for content read-aloud, and a lot more. Neural Text to Speech (Neural TTS) is a powerful speech synthesis capability of Azure Cognitive Services. ![]() They are similar in that they are multi-modal applications that provide nearly identical functionality.This post is co-authored with Peter Pan, Andy Beatman and Qinying Liao Interestingly, they are primarily marketed and sold under the category of speech recognition or voice recognition.įour packages currently dominate the Microsoft Windows-based home and small business marketplace: IBM's ViaVoice, Dragon Systems' NaturallySpeaking, L&H's Voice Xpress, and Philips' Free Speech. Now a user can purchase a single package that is a command-and-control and dictation program that also provides text-to-speech output. However, the field is rapidly changing and the leading commercial speech programs are now sold as suites that combine all of these functions. If you wanted to integrate speech control into your computer system productively, you had to purchase several programs which were not always guaranteed to be compatible. ![]() Some were command-and-control systems that allowed users to control an operating system, some were dedicated dictation packages, and some were screen readers that provided text-to-speech output. As recently as 1999, most speech applications had dedicated functions. ![]()
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