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Description
We are excited to unveil Jukebox, a cutting-edge neural network designed to create music, including basic vocalization, in diverse genres and artistic expressions as raw audio. Alongside the release of the model weights and code, we are offering a tool to help users explore the music samples generated by Jukebox. By inputting genre, artist, and lyrics, users can receive entirely new music pieces crafted from the ground up. Jukebox is capable of producing a vast array of musical and vocal styles, and it can also generalize to lyrics that were not part of the training dataset. The lyrics included here have been collaboratively crafted by researchers at OpenAI and a language model. When provided with lyrics from its training set, Jukebox generates songs that diverge significantly from the originals, showcasing its creative capabilities. Users can input a 12-second audio clip for Jukebox to build upon, with the final output reflecting a desired style. Our focus on music stems from a desire to advance the potential of generative models further. Utilizing a quantization-based approach called VQ-VAE, Jukebox’s autoencoder model effectively compresses audio into a discrete latent space, enabling innovative sound generation. As we continue to refine these technologies, we look forward to the creative possibilities that lie ahead.
Description
Seed-Music is an integrated framework that enables the generation and editing of high-quality music, allowing for the creation of both vocal and instrumental pieces from various multimodal inputs such as lyrics, style descriptions, sheet music, audio references, or vocal prompts. This innovative system also facilitates the post-production editing of existing tracks, permitting direct alterations to melodies, timbres, lyrics, or instruments. It employs a combination of autoregressive language modeling and diffusion techniques, organized into a three-stage pipeline: representation learning, which encodes raw audio into intermediate forms like audio tokens and symbolic music tokens; generation, which translates these diverse inputs into music representations; and rendering, which transforms these representations into high-fidelity audio outputs. Furthermore, Seed-Music's capabilities extend to lead-sheet to song conversion, singing synthesis, voice conversion, audio continuation, and style transfer, providing users with fine-grained control over musical structure and composition. This versatility makes it an invaluable tool for musicians and producers looking to explore new creative avenues.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
OpenAI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/blog/jukebox/
Vendor Details
Company Name
ByteDance
Founded
2012
Country
China
Website
seed.bytedance.com/en/seed-music