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About Music Transcription Modelling and Composition Using Deep Learning
The document discusses using deep learning methods, specifically long short-term memory (LSTM) networks, to model music transcriptions and generate new compositions. It builds LSTM networks using approximately 23,000 folk music transcriptions in ABC notation. Evaluation includes comparing statistics of generated vs training transcriptions, examining how well generated pieces reflect conventions of the training style (Celtic folk), and using the system to assist with music composition beyond the training style. The research aims to create useful music transcription models for composition contexts.
Detailed Information
| Author: | ['Ioana Grozav'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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