Jukebox is an advanced AI tool developed by OpenAI that generates music, including basic singing, through a neural network. It delivers raw audio in a variety of genres and artists’ styles.

Jukebox uses genre, artist, and lyrics as input to produce a completely unique music sample from scratch. Traditional music generation methods such as symbolic generators have certain limitations as they can’t capture human voices or subtly nuanced musical aspects.

To overcome these issues, Jukebox utilizes an autoencoder model which compresses raw audio to a lower-dimensional space, controlling for lengthy sequences and maintaining the depth of the musical piece.

It is characterized by its usage of a quantization-based approach, VQ-VAE, for audio compression and its application of Sparse Transformers for autoregressive modeling.

The output produced by Jukebox encapsulates the high-level semantics of music, capturing elements like singing and melodies while also ensuring timbre quality and a good balance of local musical structures.

Now, by creating a synthetic mimicry of musical sounds, Jukebox introduces an expansive scope for generative models.