15,301
Music creation
2023-02-27
Jukebox
48
Generated music and singing in diverse genres.
Overview
Music creation#71 most recent
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Jukebox is an open-source neural network tool that generates music and rudimentary singing as raw audio in multiple genres and artist styles. It releases the code and model weights with an exploration tool for generated samples.
With Jukebox, users can provide input regarding genre, artist, and lyrics, and the tool outputs new music samples in response. Jukebox produces a wide range of music and singing styles and generalizes to lyrics not seen during training.
The tool can also produce music that bears no resemblance to the songs upon which it trained when conditioned on lyrics seen during training. With Jukebox, users can condition on 12 seconds of audio, and the tool completes the remainder in a specified style.Jukebox models music directly as raw audio, which is challenging because raw audio sequences are very long.
To tackle this problem, Jukebox uses an autoencoder to compress raw audio to a lower-dimensional space, which lets the tool generate audio in that compressed space and up-sample back to the raw audio space.
Jukebox is an example of pushing the boundaries of generative models and is more expressive than tools that generate music symbolically in the form of a piano roll.
It is well-suited for users interested in experimenting with AI-generated music.
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Jukebox was manually vetted by our editorial team and was first featured on March 28th 2023.
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Pros and Cons
Pros
Generates multiple musical genres
Open-source code
Generates raw audio
Flexible user input: genre, artist, lyrics
Handles unseen lyrics
Completes music based on 12 seconds audio
Uses autoencoder for audio compression
Handles long raw audio sequences
Can produce music unrelated to training sample
Produces broad range of music styles
More expressive than symbolic music generators
Tool for exploring generated samples
Generates rudimentary singing
Can model music in artist styles
Conditions on audio for music completion
Lyric animation displays attention
Cons
Very long audio sequences
No resemblance to trained songs
Raw audio challenging
Modeling errors in music generation
No direct music-to-lyrics alignment
Extremely long-range musical dependencies
Long audio rendering time
Discernable noise in output
Limited to predominantly English lyrics
Limited to predominantly Western music genres
Q&A
What is Jukebox?
Jukebox is an open-source neural network tool that generates music and rudimentary singing as raw audio in various genres and artist styles. It also allows users to explore generated samples and provides the model weights and code.
How does Jukebox generate music?
Jukebox generates music by utilizing an autoencoder to compress raw audio to a lower-dimensional space. It then generates audio in this compressed space before up-sampling back to the raw audio space. Users can condition on 12 seconds of audio, and Jukebox then completes the remainder in a specified style.
How diverse is the music generated by Jukebox?
Jukebox can generate music in diverse genres and artist styles. It is capable of producing a wide range of music and singing styles and can adapt to lyrics not seen during training.
Can I provide input for the music Jukebox generates?
Yes, users can provide input regarding genre, artist, and lyrics. Jukebox then outputs new music samples in response to the provided input.
How does Jukebox use autoencoders for music generation?
Jukebox uses an autoencoder to compress raw audio to a lower-dimensional space. This method allows Jukebox to successfully tackle the challenge of long raw audio sequences. After the raw audio has been compressed, Jukebox generates new audio in the compressed space before up-sampling it back to raw audio.
How is Jukebox different from other music generation tools?
Jukebox is unique in that it models music directly as raw audio rather than symbolically in the form of a piano roll. This approach provides Jukebox with a higher level of expressivity and makes it more suitable for users interested in experimenting with AI-generated music.
How can I explore the samples generated by Jukebox?
Users can explore the samples generated by Jukebox using the exploration tool that is released along with the model weights and code.
What is the audio quality of the music generated by Jukebox?
Jukebox generates music as raw audio, resulting in an audio quality that depends on the specifications of the generated samples and the original trained audio.
How flexible is Jukebox in music generation?
Jukebox is flexible in its music generation as it can produce songs that bear no resemblance to the songs upon which it trained. It can also generate music in users' specified styles by conditioning on 12 seconds of audio.
How does Jukebox handle raw audio sequences?
Jukebox uses an autoencoder to handle raw audio sequences, which are particularly long and challenging to process. The autoencoder compresses the raw audio to a lower-dimensional space before music generation is undertaken.
What are the requirements for using Jukebox?
Jukebox is an open-source tool and to use it, one would need access to a computer system that meets the requirements of the tool, such as having an adequate-processing-power GPU for handling neural network computations.
Can I modify the music style generated by Jukebox?
Yes, users can condition Jukebox to generate music in a specific style. They can provide input regarding the genre, artist, and lyrics, and Jukebox outputs new music samples corresponding to those specifications.
How does Jukebox handle lyrics not seen during training?
Jukebox can generalize to lyrics not seen during its training phase. It can produce music and singing styles that vary based on the new lyrics.
Can Jukebox generate music resembling songs it was trained on?
When conditioned on lyrics seen during training, Jukebox can produce songs that are distinct from the original songs it was trained on.
How does Jukebox handle long audio sequences?
For handling long audio sequences, Jukebox employs an autoencoder. It compresses raw audio to a lower-dimensional space, making the long sequences more manageable. The generation of new audio is then completed in this compressed space.
How does Jukebox condition on audio?
Users can condition on a given 12 seconds of audio, providing a starting point or style, and Jukebox will complete the remainder in the given style.
What were the challenges in developing Jukebox?
Developing Jukebox involves navigating several challenges, such as managing lengthy raw audio sequences and generalizing to conditions not present during training. However, the use of an autoencoder to compress raw audio and the capability to extract relevant information from user input help tackle these challenges.
Who is the target audience for Jukebox?
Jukebox is designed for anyone interested in experimenting with AI-generated music. Its open-source nature makes it accessible to the wide public, including researchers, music producers, artists, and AI enthusiasts.
Can Jukebox generate singing in addition to music?
Yes, Jukebox can generate rudimentary singing in addition to instrumental music. It does this in a variety of genres and artist styles.
What is unique about Jukebox’s approach to music generation?
Jukebox's approach to music generation is unique as it models music directly as raw audio. It involves compressing the raw audio into a lower-dimensional space, generating new audio in this compressed space, and then up-sampling it back to raw audio. This approach enables Jukebox to generate diverse music and singing styles.
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