Best AI Audio Generators for OpenAI

MuseNet is a deep neural network that generates 4-minute musical compositions using 10 instruments. It can also combine styles from country, Mozart, and the Beatles. MuseNet was not programmed with an understanding of music. Instead, it discovered patterns of harmony and rhythm by learning to predict which MIDI file will contain the next token. MuseNet uses the same unsupervised general-purpose technology as GPT-2, which is a large-scale transformer model that predicts the next token in a sequence of audio or text. MuseNet can mix generations in new ways because it is familiar with many styles. We are excited to see how musicians, as well as non-musicians, will use MuseNet for new compositions. Start generating by choosing a style or composer, and an optional start to a famous piece. This allows you to explore the many musical styles that the model can create.

Jukebox is a neural net that generates music. It can also rudimentary sing. We are releasing the code and model weights, as well as a tool to help you explore the generated samples. Jukebox generates a new music sample from scratch when you provide genre, artist, lyrics, and other inputs. Jukebox can produce a wide variety of music and singing styles, and it can also generalize to lyrics that were not present during training. All of the below lyrics were co-written by OpenAI researchers and a language model. Jukebox creates songs that are very different from the original songs when it is trained using lyrics learned during training. Jukebox provides 12 seconds of audio for conditioning and then completes the rest in a specific style. We chose music to work on because we want to push the boundaries of generative modeling. Jukebox's autoencoder compresses audio into a discrete space using a quantization-based method called VQ-VAE.