WaveNet: A Generative Model for Raw Audio

WaveNet is a deep learning model developed by DeepMind that directly generates raw audio waveforms, offering a more natural and realistic sound compared to traditional text-to-speech methods. It uses a convolutional neural network architecture to model the probability distribution of audio samples, allowing it to capture the nuances and complexities of human speech and other sounds. This breakthrough paved the way for more expressive and human-like speech synthesis.