OpenAI today released Jukebox, a machine learning framework that generates music — including rudimentary songs — as raw audio in a range of genres and musical styles. Provided with a genre ...

The Jukebox model was trained on a raw dataset of 1.2 million songs, including 600,000 in English language, and used metadata and lyrics from LyricWiki to recreate singer’s voices.

The approach is similar to how OpenAI developed a prior music-making AI called MuseNet, but Jukebox goes a step further by generating its own lyrics in collaboration (the company used the word ...

OpenAI trained convolutional neutral networks with a curated list of 1.2 million songs to generate the raw-sounding music. In the organization’s paper describing Jukebox, the researchers say ...

Jukebox aspires one day to fool people with music, as well. Having listened to around 1.2 million songs, categorized by artist, album genre, year, moods and keywords, it has begun composing.

OpenAI, an artificial intelligence research laboratory, has released a new project called Jukebox that generates music, including human singing, in a variety of genres and artist styles. The ...

The news: In a fresh spin on manufactured pop, OpenAI has released a neural network called Jukebox that can generate catchy songs in a variety of different styles, from teenybop and country to hip ...

OpenAI has not released open-source models, likely since a rival could use the training data and code to reverse engineer its tech. "An open-source model is more than just the weights. It would ...

AI-generated music is a fascinating new field, and deep-pocketed research outfit OpenAI has hit new heights in it, creating recreations of songs in the style of Elvis, 2Pac, and others. The ...