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About ISMIR 2019 Tutorial - Waveform-Based Music Processing With Deep Learning
This document discusses deep learning approaches for music processing and analysis using waveform data. It begins with a historical perspective on the increasing number of papers applying neural networks to music since the 1980s. It then outlines three common approaches: (1) classification using engineered audio features, (2) frame-level classification of spectrograms, and (3) end-to-end classification of raw waveforms. The document explores opportunities in classification, source separation, and music generation using these deep learning techniques.
Detailed Information
| Author: | ['Yue Hann Chin'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 152 |
| Language: | English |
| Format: | |
| Price: | FREE |
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