Microsoft’s Neural TTS converts texts to lifelike speech

0
59

A recent introduction by Microsoft is the addition of languages which include Indian English and Hindi to its Neural Text to Speech (Neural TTS) service language set.15 new dialects are added to the service alongside with them.  With state-of-the-art AI audio quality, these are being enabled.

Texts are converted to lifelike speech for a more natural interface is done by Neural TTS which is a part of the Azure Cognitive Services. Neural TTS also provides customizable voices, fine-tuned auto control, and flexible deployment from cloud to edge. the stress patterns and intonation of human voices need to be matched with a natural-sounding speech. The company shared that when users are interacting with AI systems listening fatigue is drastically reduced by Neural TTS.  

Companies in the telecom, media and entertainment, retail, manufacturing, and other domains use it extensively to communicate with the customers. For instance, Udaan is using Text to Speech in Azure. It is used to develop conversational interfaces for their voice assistants. Udaan is India’s largest online business-to-business (B2B) marketplace. As per Sundar Srinivasan, General Manager, Microsoft India (R&D) Pvt. Ltd., a key role is played by our text-to-speech services in democratizing information reach. It is also empowering people and organizations.

Further, democratize their continued commitment can be done by the inclusion of English (India) and Hindi languages to refining speech and voice-based services for personal and business use in India.  To empower people wherever they are to access information easily will be continued by driving further advancements in speech services. Interactions with chatbots and virtual assistants can be made using Microsoft’s Neural TTS which makes them more natural and engaging.

Digital texts are converted using Microsoft’s Neural TTS such as e-books into audiobooks. It is being deployed for in-car navigation systems. Matching the patterns of stress and pitch in the spoken language of traditional text-to-speech systems includes a lot of limitations that need to be overcome by the company using deep neural networks. Human-like natural and clear articulation is enabled which is better than other similar services.

Comprehensive privacy and enterprise-grade security are maintained through data encryption when neural TTS offers these benefits. Portuguese, Russian, Thai, Swedish, Chinese (Cantonese Traditional and Taiwanese Mandarin), Arabic (Egypt and Saudi Arabia), Danish, Finnish, Catalan, Polish, Dutch are the other new languages introduced. With these additions, 110 voices and over 45 languages and variants are now supported by the company.

LEAVE A REPLY

Please enter your comment!
Please enter your name here