A Spiking Neural Network Framework for Robust Sound Classification

A Spiking Neural Network Framework for Robust Sound Classification

Environmental sounds form part of our daily life. With the advancement of deep learning models and the abundance of training data, the performance of automatic sound classification (ASC) systems has improved significantly in recent years. However, the high computational cost, hence high power consum...

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Bibliographic Details
Main Authors: Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li, Kay Chen Tan
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural network
self-organizing map
automatic sound classification
maximum-margin Tempotron classifier
noise robust multi-condition training
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00836/full

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https://www.frontiersin.org/article/10.3389/fnins.2018.00836/full

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