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About Chord Detection Using Deep Learning
This document describes research on using deep learning techniques for chord detection from audio. Specifically, it investigates using deep networks to learn high-level features from audio that are more representative for chord detection compared to traditional pitch chroma features. The researchers present results for different preprocessing methods, network architectures including bottleneck networks, and output classifiers like SVMs and HMMs. Deep learning approaches have potential for untangling complex patterns in audio for tasks like chord detection.
Detailed Information
| Author: | ['Eugene Quah'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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