Google's WaveNet is a deep learning model designed to generate human-like speech. Developed by DeepMind, it uses neural networks to produce audio waveforms directly, allowing for more natural and expressive voice synthesis compared to traditional text-to-speech systems. WaveNet can also create realistic sound effects and music by modeling the audio at a granular level. Its ability to learn from vast amounts of data enables it to capture the nuances of human speech, making it a significant advancement in the field of artificial intelligence and audio processing.