Speaker-independent Malay isolated sounds recognition

This paper simply describes the use of neural networks in recognizing some Malay isolated sounds of Malay children in a speaker-independent manner. The isolated sounds are Malay plosive sounds, which are comprised of /b/, /d/, /g/, /p/, /t/ and /k/. A three-layer Multi-layer Perceptron (MLP) is used...

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Main Authors: Hua Nong Ting, Jasmy Yunus, Lee Chen Wong
Format: Conference Proceeding
Language:English
Subjects:
Cepstral analysis
Feature extraction
Linear predictive coding
Loudspeakers
Multilayer perceptrons
Neural networks
Neurons
Spatial databases
Speech coding
Testing
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Jasmy Yunus
Lee Chen Wong
description This paper simply describes the use of neural networks in recognizing some Malay isolated sounds of Malay children in a speaker-independent manner. The isolated sounds are Malay plosive sounds, which are comprised of /b/, /d/, /g/, /p/, /t/ and /k/. A three-layer Multi-layer Perceptron (MLP) is used to train and recognize the speech sounds. The MLP output layer has an output layer of 6 neurons, which correspond to the 6 isolated plosive sounds. Network parameters such as hidden neuron number and error function, were investigated to achieve the optimal performance of the MLP. The proposed system was able to achieve the highest accuracy of 84.67%.
doi_str_mv 10.1109/ICONIP.2002.1201925
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identifier ISBN: 9810475241
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subjects Cepstral analysis
Feature extraction
Linear predictive coding
Loudspeakers
Multilayer perceptrons
Neural networks
Neurons
Spatial databases
Speech coding
Testing
title Speaker-independent Malay isolated sounds recognition
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