Jukebox

Jukebox is OpenAI's neural network model for generating music with singing, released as a research model demonstrating the capability to produce raw audio music including vocals in various styles. The model represented a significant advance in AI music generation when released, demonstrating that AI could produce complete songs with coherent musical structure and singing.

Jukebox's approach generates music directly as raw audio waveforms rather than working with musical notation or symbolic representations, which gives the model access to all the acoustic richness of recorded music — timbre, dynamics, production style — rather than just the notes and timing.

The model is conditioned on genre, artist style, and lyrics, allowing generation of music that attempts to capture specific musical aesthetics. Given an artist name and genre as conditioning, Jukebox generates audio that stylistically resembles music in that style, though the results are clearly AI-generated to careful listeners.

As a research release, Jukebox demonstrates what's possible in AI music generation but isn't positioned as a production tool. The model's generation is slow and computationally intensive, making it impractical for applications requiring real-time or rapid generation.

Jukebox's technical contributions — particularly around modeling the hierarchical structure of music using VQ-VAE and transformer architectures — have influenced subsequent music generation research. The model remains an important milestone in understanding what AI music generation can achieve, even if newer models have surpassed it in practical quality and usability.