AzReco Speech Sythesis

Text-to-speech or speech synthesis is a system that converts any text into human speech. Unlike many other text-to-speech systems, AzReco does not combine existing sound tracks, it rather generates a sound wave from scratch. The system uses complex deep neural networks, and the network is trained over a large volume of voice data. While learning, the network analyzes the complex structure that underlies real human speech - sequence of tones, wave forms of natural speech, and so on. As a result, more than 10 million parameters are evaluated.

Deeper technology and more natural speech synthesis

The biggest disadvantage of traditional TTS systems is that the synthesized speech has the so-called robotic effect, meaning that the sound is more like a robotic voice than a human one. One cannot listen to this speech for a long time and listening doesn't become an exciting experience anymore. We use artificial neural networks that are designed to address this shortcoming. This way our system makes converted speech sound more human, more realistic. It creates great listening experience.