music generation

AudioLM is a framework developed by Google Research for high-quality audio generation with long-term consistency. It maps input audio to discrete token sequences and treats audio generation as a language modeling task in this representation space. By training on large amounts of raw audio waveforms, AudioLM learns to generate natural and coherent audio continuations, even in the absence of text or annotations, and is able to generate grammatically and semantically sound speech continuations while maintaining speaker identity and prosody. In addition, AudioLM can generate coherent piano music continuations, although it does not use any symbolic representation of music during training.