WaveNet

WaveNet is a deep learning model developed by DeepMind that generates realistic human-like speech and audio. Unlike traditional text-to-speech systems that use pre-recorded segments, WaveNet creates sound waveforms one sample at a time, learning patterns from vast amounts of audio data. This approach allows it to produce nuanced and expressive speech, capturing the subtleties of tone and emotion. WaveNet has been widely recognized for its ability to improve the quality of voice assistants and other audio applications, making digital speech sound more natural and engaging.