THE OPTIMAL PERFORMANCE OF MULTI-LAYER NEURAL NETWORK FOR SPEAKER-INDEPENDENT ISOLATED SPOKEN MALAY PARLIAMENTARY SPEECH

THE OPTIMAL PERFORMANCE OF MULTI-LAYER NEURAL NETWORK FOR SPEAKER-INDEPENDENT ISOLATED SPOKEN MALAY PARLIAMENTARY SPEECH

This paper describes speech recognizer modeling techniques which are suited to high performance and robust isolated word recognition in speaker-independent manner. In this study, a speech recognition system is presented, specifically for an isolated spoken Malay word recognizer which uses spontaneou...

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Bibliographic Details
Main Authors: Noraini Seman, Zainab Abu Bakar, Nordin Abu Bakar, Haslizatul Fairuz Mohamed, Nur Atiqah Sia Abdullah, Prasanna Ramakrisnan, Sharifah Mumtazah Syed Ahmad
Format: Article
Language:English
Published: UiTM Press 2010-04-01
Series:Malaysian Journal of Computing
Subjects:
multi-layer perceptron
feedforward
mel-frequency cepstral coefficients
hidden neuron
target vector
Online Access:https://mjoc.uitm.edu.my/main/images/journal/vol1-2010/08-The-Optimal-Performance-Of-MultiLayer-NN-For-SIIsolated-Spoken-Malay-Parliamentary-Speech---Noraini-Seman.pdf

Internet

https://mjoc.uitm.edu.my/main/images/journal/vol1-2010/08-The-Optimal-Performance-Of-MultiLayer-NN-For-SIIsolated-Spoken-Malay-Parliamentary-Speech---Noraini-Seman.pdf

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