Utilizing the Neuronal Behaviour of Spiking Neurons to Recognize Music Signals based on Time Coding Features

Utilizing the Neuronal Behaviour of Spiking Neurons to Recognize Music Signals based on Time Coding Features

This paper presents a Spiking Neural Network(SNN) architecture to distinguish two musical instruments: piano and violin. The acoustic characteristics of music such as frequency and time convey a lot of information that help humans in distinguishing music instruments within few seconds. SNNs are neur...

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Bibliographic Details
Main Authors:	Espinosa-Ramos., J.I (Author), Narayanan, A. (Author), Shah, D. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:	Acoustic characteristic Behavioral research Biological neural networks classification Classification (of information) Codes (symbols) Data handling Encoding Encodings Feature extraction Features extraction Instruments Learning systems Mean square error Membrane potentials music Music Musical instruments Network architecture Network coding Neural networks Neural-networks Neurons Spiking neural network spiking neural networks Spiking Neurones spiking neurons STDP temporal data Temporal Data unsupervised learning
Online Access:	View Fulltext in Publisher

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