Description

MuseNet is OpenAI’s deep neural network for generating music. It can create 4-minute musical compositions with 10 different instruments and blend styles ranging from country to Mozart to the Beatles.

According to OpenAI, MuseNet learns patterns of harmony, rhythm, and style by predicting the next token across hundreds of thousands of MIDI files, rather than being explicitly programmed with music theory.

How we innovate

MuseNet is distinctive for using a general-purpose unsupervised transformer approach to generate music from MIDI tokens, letting it discover musical patterns and produce longer compositions with controllable style and instrumentation.

Use Case / Scenario

1. Style blending

Create music that combines influences from different styles, such as classical and pop, for exploratory composition ideas.

2. Instrumented composition generation

Generate pieces with multiple instruments and use composer or instrumentation prompts to steer the musical output.

3. Musical experimentation

Explore how a model trained on MIDI sequences can produce longer-form musical structure and varied sample completions.

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