Jukebox: An Innovative Open-Source Tool for Generating Music
Jukebox is a cutting-edge neural network tool that enables users to generate music and rudimentary singing in multiple genres and artist styles. This open-source tool offers users the code and model weights necessary to explore a wide variety of generated samples.
With Jukebox, users can input their preferred genre, artist, and lyrics, and the tool will output new music samples in response. The tool can produce a diverse range of music and singing styles and can generalize to lyrics not seen during training.
One of Jukebox's unique features is its ability to produce music that bears no resemblance to the songs upon which it trained when conditioned on lyrics seen during training. Additionally, users can condition on just 12 seconds of audio, and the tool will complete the remainder of the song in a specified style.
Generating music directly as raw audio can be challenging due to the length of raw audio sequences. To overcome this challenge, Jukebox employs an autoencoder to compress raw audio to a lower-dimensional space. This allows the tool to generate audio in the compressed space and up-sample back to the raw audio space.
Jukebox pushes the boundaries of generative models and is more expressive than tools that generate music symbolically in the form of a piano roll. It is ideal for users interested in experimenting with AI-generated music. With Jukebox, the possibilities for creating innovative and unique musical pieces are endless.
