AudioCraft Description
AudioCraft serves as a comprehensive codebase tailored for all your generative audio requirements, including music, sound effects, and compression, following its training on raw audio signals. By utilizing AudioCraft, we enhance the design of generative audio models significantly compared to earlier methodologies. Both MusicGen and AudioGen rely on a unified autoregressive Language Model (LM) that functions across streams of compressed discrete music representations known as tokens. We propose a straightforward technique to exploit the intrinsic structure of the parallel token streams, demonstrating that with a single model and a refined interleaving pattern, we can effectively model audio sequences while capturing long-term dependencies, resulting in the generation of high-quality audio outputs. Our models utilize the EnCodec neural audio codec to derive discrete audio tokens from the raw waveform, with EnCodec transforming the audio signal into multiple parallel streams of discrete tokens. This innovative approach not only streamlines audio generation but also enhances the overall efficiency and quality of the output.
AudioCraft Alternatives
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OpenAI Jukebox
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Integrations
No Integrations at this time
Company Details
Company:
Meta AI
Year Founded:
2004
Headquarters:
United States
Website:
audiocraft.metademolab.com
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
AudioCraft Features and Options
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