Respeecher

We build high fidelity voice cloning (voice conversion) systems using deep neural networks.

They leverage recent breakthroughs in the field of machine learning called deep learning which allow artificial neural networks to produce high quality synthetic speech. Up until now, these techniques have mainly been used for text-to-speech conversion. Because text contains very little prosodic information, this results in a rather monotone output. By doing speech-to-speech, we circumvent this problem, copying the intonation of the input speech to the output.