Jukebox: Generating Music with Singing in Raw Audio Domain
If you are a fan of music, you might be interested in a new model that generates music with singing in the raw audio domain. It's called Jukebox. The model is designed to tackle the long context of raw audio using a multi-scale VQ-VAE to compress it to discrete codes, and modeling those using autoregressive Transformers. It can condition on artist and genre to steer the musical and vocal style and on unaligned lyrics to make the singing more controllable.
What is Jukebox?
Jukebox is a machine learning model that generates original music with singing in the raw audio domain. It's a product of openAI, a research organization that aims to develop artificial intelligence to benefit humanity. The model is trained on a massive dataset of music spanning a broad range of genres, styles, and eras. It then uses that knowledge to generate new, original pieces of music that sound like they were created by humans.
How does Jukebox Work?
Jukebox uses a multi-scale VQ-VAE to compress raw audio to discrete codes. At each level, the input audio is segmented and encoded into latent vectors, which are then quantized to the closest codebook vectors. The code is a discrete representation of the audio that Jukebox trains its prior on. The decoder takes the sequence of codebook vectors and reconstructs the audio. The top level learns the highest degree of abstraction, encoding longer audio per token while keeping the codebook size the same.
Jukebox also uses autoregressive Transformers to model the latent codebook vectors. This is what makes it possible for the model to create original pieces of music that are stylistically consistent and coherent. The model can condition the music it generates based on genre, artist, and other characteristics to steer the musical and vocal style. It can also use unaligned lyrics to make the singing more controllable.
What are the Benefits of Jukebox?
One of the main benefits of Jukebox is that it can generate music that sounds like it was created by humans. It can even create music that sounds like it was created by a specific artist or in a particular genre. Additionally, Jukebox can synthesize singing, which is particularly impressive because modeling the human voice is notoriously difficult.
Another benefit is that Jukebox is a powerful tool for music composition and production. Musicians, producers, and songwriters can use Jukebox to generate ideas, explore different styles and genres, and get creative with new sounds and textures. It is also an excellent tool for teaching and learning music composition, as it can generate music based on specific instructions, such as particular chord progressions or melodies.
The Future of Jukebox
Jukebox is still a relatively new model, and there is much room for improvement and innovation. Current versions of Jukebox can create music that sounds like it belongs in specific genres, but future versions of the model may be able to create entirely new genres of music. Additionally, Jukebox may be able to learn from other types of creative works, such as visual art, literature, or film. The potential to collaborate with artists, musicians, and creatives in other fields is vast.
Furthermore, Jukebox has the potential to revolutionize the music industry. It could assist in creating original pieces of music for video games, movies, and other forms of media. Jukebox could also create songs that are tailored to specific audiences.
Jukebox is a remarkable machine learning model that generates music in the raw audio domain. It compresses raw audio to discrete codes and models those codes using autoregressive Transformers. It can even synthesize singing, which is particularly impressive. Jukebox has the potential to revolutionize the music industry and become an essential tool for music composition, production, and teaching. The future of Jukebox looks bright, and we can't wait to see what it will create next.
