Controllable music generation

A system, comprising:

• at least one processor;
• and
• at least one memory communicatively coupled to the at least one processor and storing instructions that upon execution by the at least one processor cause the system to perform operations, the operations comprising:
• extracting latent vectors from unlabelled data by an encoder, the unlabelled data comprising a plurality of music note sequences, the plurality of music note sequences indicating a plurality of pieces of music;
• clustering the latent vectors into a plurality of classes corresponding to a plurality of music styles by a machine learning model;
• generating a plurality of labelled latent vectors corresponding to the plurality of music styles by the machine learning model, each of the plurality of labelled latent vectors comprising information indicating features of a corresponding music style among the plurality of music styles;
• and
• generating, by a decoder, a first music note sequence indicating a first piece of music in a particular music style among the plurality of music styles based at least in part on a particular labelled latent vector among the plurality of labelled latent vectors, the particular labelled latent vector corresponding to the particular music style.

A non-transitory computer-readable storage medium, storing computer-readable instructions that upon execution by a processor cause the processor to implement operations, the operation comprising:

• extracting latent vectors from unlabelled data by an encoder, the unlabelled data comprising a plurality of music note sequences, the plurality of music note sequences indicating a plurality of pieces of music;
• clustering the latent vectors into a plurality of classes corresponding to a plurality of music styles by a machine learning model;
• generating a plurality of labelled latent vectors corresponding to the plurality of music styles by the machine learning model, each of the plurality of labelled latent vectors comprising information indicating features of a corresponding music style among the plurality of music styles;
• and
• generating, by a decoder, a first music note sequence indicating a first piece of music in a particular music style among the plurality of music styles based at least in part on a particular labelled latent vector among the plurality of labelled latent vectors, the particular labelled latent vector corresponding to the particular music style.