Text-to-Speech Software

Integrating Text-to-Speech

TTS services use natural language processing and deep learning techniques to convert text into speech that sounds like a human voice. Most providers offer natural voices in a variety of languages. Services such as MS Azure TTS also offer voice customization features that allow businesses to adopt a unique and consistent brand voice across all touchpoints.

Cutting-edge research in speech synthesis along with sophisticated machine learning capabilities contribute to the accuracy of automated text-to-speech conversions. A sentence can be interpreted or read in many ways and it changes with the person and emotion being conveyed. Speech synthesizers make use of complex algorithms and neural networks to convert text into phonemes, which are then converted into sounds. Converting text into phonemes involves normalization of words to understand the context and solve any ambiguity. Once the phonemes are available, sounds are generated either through voice recordings or via generation of sound frequencies. Identifying the ideal pitch and speed, the speech synthesizer can be tailored to suit your business need.

All major TTS service providers have multiple options for developers to integrate TTS into solutions with many offering platform-specific SDKs. We can make use of their APIs to integrate them into web pages, applications, tablets, cars, TVs, speakers, etc.

At QBurst, we build cognitive speech solutions integrating text-to-speech APIs from popular cloud providers. Our consultants work with clients, helping them choose the most suited TTS synthesizer and integrating that service into the application to deliver the desired solution.