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About Musical Notes Classification
This document proposes a system to classify musical notes using a neuromorphic auditory system implemented on an FPGA and a trained convolutional spiking network. The neuromorphic auditory system produces spike outputs like a biological cochlea, decomposing audio into 128 frequency channels. A trained convolutional spiking network is used to detect tones and musical notes based on spiking patterns across frequency channels. The system is able to distinguish sounds in real-time, even with noise, representing an innovative use of a neuromorphic auditory system and convolutional neural network for audio classification.
Detailed Information
| Author: | ['Shalini Shrivastava'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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