Machine learning in audio processing leverages algorithms to analyze and interpret audio data, enabling tasks such as speech recognition, music classification, and audio enhancement. These systems improve over time by learning from data, making them increasingly effective in diverse applications, from virtual assistants to music recommendation systems.