OpenAI Jukebox

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Create unique, genre-specific music with Jukebox, a powerful neural network music generator. Input genre, artist, and lyrics, and let Jukebox handle the rest!0
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What is OpenAI Jukebox?

Jukebox is a revolutionary AI system that generates music and singing. It creates new songs from scratch, in various genres and styles. The model is trained on a comprehensive dataset of 1.2 million songs and conditioned on lyrics, artist, and genre.

Key Features:

  • Raw Audio Generation: Jukebox produces music directly as audio, overcoming the limitations of symbolic generators.
  • Multi-Level Compression: It employs a hierarchical VQ-VAE architecture to compress raw audio into a discrete space for efficient generation.
  • Transformer-Based Priors: Jukebox uses transformer models to generate music codes conditioned on lyrics, artist, and genre, enabling high-quality and coherent song creation.

Use Cases:

  • Music Creation: Jukebox can aid musicians and producers in creating new songs and exploring different genres and styles.
  • Film and Game Soundtracks: The model can generate captivating background music for movies, games, and other media.
  • Music Therapy: Jukebox can create personalized music experiences for therapeutic purposes based on an individual's preferences.

Conclusion: Jukebox represents a milestone in generative music technology. Its ability to create diverse, high-quality music has the potential to revolutionize music production, open up new avenues for artistic expression, and enhance our appreciation for the beauty of music.


More information on OpenAI Jukebox

Launched
2007-01
Pricing Model
Paid
Starting Price
Global Rank
96
Follow
Month Visit
512M
Tech used
Cloudflare Analytics,Google Fonts,Nuxt.js,Microsoft Azure,HSTS

Top 5 Countries

12.12%
7.13%
4.82%
3.91%
3.73%
United States India Peru Japan Brazil

Traffic Sources

43.17%
33.73%
21.99%
0.78%
0.32%
0.01%
Search Referrals Direct Social Mail Paid Referrals
Source: Similarweb (Jul 22, 2024)
OpenAI Jukebox was manually vetted by our editorial team and was first featured on 2023-03-07.
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