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
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