Malay speaker dependent digits recognition with improved backpropagation

This paper presents a study of a Malay speaker dependent recognition using improved Neural Network (NN). The performances are evaluated for recog-nition of the isolated Malay digits of "0" through "9". The Error Backpropagation (BP) and an improved error signal of the BP are u...

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Main Authors: Ummu Salamah Mohamad, Ramlan Mahmod, Siti Mariyam Shamsuddin
Format: Article
Language:English
Published: Penerbit UKM 2004
Online Access:http://journalarticle.ukm.my/2158/
http://journalarticle.ukm.my/2158/1/vol1_abstract1.pdf
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author Ummu Salamah Mohamad,
Ramlan Mahmod,
Siti Mariyam Shamsuddin,
author_facet Ummu Salamah Mohamad,
Ramlan Mahmod,
Siti Mariyam Shamsuddin,
author_sort Ummu Salamah Mohamad,
building UKM Institutional Repository
collection Online Access
description This paper presents a study of a Malay speaker dependent recognition using improved Neural Network (NN). The performances are evaluated for recog-nition of the isolated Malay digits of "0" through "9". The Error Backpropagation (BP) and an improved error signal of the BP are used in this study. Experiments are carried out by comparing the recognition rates and convergence time of the standard BP and improved BP, as well as the effects of normalisation techniques on Malay speaker dependent data. The utter-ances are represented using the Linear Prediction Coding (LPC) method. The results show that the improved BP outperforms the standard BP in terms of its convergence with better recognition rates for unnormalised data. For the effects of normalisation data, the unit simple method gives better result compared to unit range and unit variance with improved BP gives faster convergence and higher recognition rates
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spelling oai:generic.eprints.org:21582016-12-14T06:30:54Z http://journalarticle.ukm.my/2158/ Malay speaker dependent digits recognition with improved backpropagation Ummu Salamah Mohamad, Ramlan Mahmod, Siti Mariyam Shamsuddin, This paper presents a study of a Malay speaker dependent recognition using improved Neural Network (NN). The performances are evaluated for recog-nition of the isolated Malay digits of "0" through "9". The Error Backpropagation (BP) and an improved error signal of the BP are used in this study. Experiments are carried out by comparing the recognition rates and convergence time of the standard BP and improved BP, as well as the effects of normalisation techniques on Malay speaker dependent data. The utter-ances are represented using the Linear Prediction Coding (LPC) method. The results show that the improved BP outperforms the standard BP in terms of its convergence with better recognition rates for unnormalised data. For the effects of normalisation data, the unit simple method gives better result compared to unit range and unit variance with improved BP gives faster convergence and higher recognition rates Penerbit UKM 2004 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/2158/1/vol1_abstract1.pdf Ummu Salamah Mohamad, and Ramlan Mahmod, and Siti Mariyam Shamsuddin, (2004) Malay speaker dependent digits recognition with improved backpropagation. Jurnal Teknologi Maklumat dan Multimedia, 1 . pp. 1-14. ISSN 1823-0113 http://www.ftsm.ukm.my/ejms/volume1.asp
spellingShingle Ummu Salamah Mohamad,
Ramlan Mahmod,
Siti Mariyam Shamsuddin,
Malay speaker dependent digits recognition with improved backpropagation
title Malay speaker dependent digits recognition with improved backpropagation
title_full Malay speaker dependent digits recognition with improved backpropagation
title_fullStr Malay speaker dependent digits recognition with improved backpropagation
title_full_unstemmed Malay speaker dependent digits recognition with improved backpropagation
title_short Malay speaker dependent digits recognition with improved backpropagation
title_sort malay speaker dependent digits recognition with improved backpropagation
url http://journalarticle.ukm.my/2158/
http://journalarticle.ukm.my/2158/
http://journalarticle.ukm.my/2158/1/vol1_abstract1.pdf