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MuseNet is a deep neural network that generates 4-minute musical compositions using 10 different instruments, blending various styles from country to classical to pop. It learns patterns of harmony, rhythm, and style from predicting the next token in a vast number of MIDI files, akin to GPT-2's text prediction. It allows the creation of unique compositions by combining multiple styles and instruments, though it has limitations in handling odd pairings. MuseNet uses advanced tokens and the Sparse Transformer to create structured, long-form music.
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Generates 4-minute compositions
Supports 10 different instruments
Blends multiple musical styles
Learns from millions of MIDI files
Uses composer and instrumentation tokens
Employs the Sparse Transformer
Handles long-term musical structures
Interactive advanced mode
Simple mode for quick generation
Creates both curated and random samples
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