AI Music Generator

We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artistic styles. We’re releasing the model weights and code, along with a tool to explore the generated samples. Provided with genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch. Jukebox produces a wide range of music and singing styles and generalizes to lyrics not seen during training. All the lyrics below have been co-written by a language model and OpenAI researchers. When conditioned on lyrics seen during training, Jukebox produces songs very different from the original songs it was trained on. We provide 12 seconds of audio to condition on and Jukebox completes the rest in a specified style. We chose to work on music because we want to continue to push the boundaries of generative models. Jukebox’s autoencoder model compresses audio to a discrete space, using a quantization-based approach called VQ-VAE.

ToMusic is an AI-powered platform that transforms text into music. Users can input lyrics or descriptive text, and the platform generates unique musical compositions based on the given input. With customizable features like voice gender, genre, mood, and tempo, ToMusic provides a personalized experience, allowing users to create songs from scratch. This tool is suitable for content creators, musicians, and marketers who need to quickly produce original music for videos, campaigns, or other creative projects.