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About Chord Detection Using Deep Learning
This document discusses using deep learning for chord detection from audio. It begins with an introduction to chord detection and the potential of deep learning approaches. It then reviews related work on deep learning methods, including deep belief networks, convolutional neural networks, and bottleneck architectures. The rest of the document outlines the system presented, including using a constant Q transform for input representation, a bottleneck deep network architecture for feature learning, and HMMs or SVMs for classification. The goal is to learn high-level features for chord detection that outperform traditional pitch chroma representations.
Detailed Information
| Author: | ['D Ban Cho'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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