What is MuseNet ?
MuseNet is an AI music generation tool developed by OpenAI. Based on Sparse Transformer technology, it can remember the long-term structure of music through a 72-layer network and 24 attention heads. It can generate diverse musical styles, mix different composers and instrument elements, and bring new possibilities to music creation.
Core functions
Diverse music styles: Supports innovative mixing of multiple styles and instruments.
Long-term memory: Using a 72-layer network to maintain the coherence of the music structure.
Multi-mode generation: Provides simple mode (random generation) and advanced mode (interactive creation).
Style Control: Generate music of a specific style through composer and instrument tokens.
Time Embedding: Use time embedding technology to ensure that simultaneous notes have uniform timing.
Usage scenarios
Make new music: Create new compositions by mixing different styles and instruments.
Random exploration: Explore different combinations of music styles and composers in easy mode.
Interactive creation: Interact with models through advanced modes to generate unique works.
Style generation: Generate music of a specific style on demand, such as works based on Rachmaninoff or pop music.
Learning and Analysis: Study similarities between musical styles and composers through visual embedding techniques.
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