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Malaysian vowel recognition based on spectral envelope using bandwidth approach

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Main Authors: Fadzilah, Siraj, Shahrul Azmi, M. Y., Paulraj, Murugesapandian, Sazali, Yaacob
Other Authors: fad173@uum.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2009
Subjects:
Bandwidth approach
Logistic regression
Neural network
Spectral envelope
Vowel recognition
Backpropagation
Speech recognition
Regression analysis
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7399
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spelling my.unimap-73992009-12-10T06:21:46Z Malaysian vowel recognition based on spectral envelope using bandwidth approach Fadzilah, Siraj Shahrul Azmi, M. Y. Paulraj, Murugesapandian Sazali, Yaacob fad173@uum.edu.my Bandwidth approach Logistic regression Neural network Spectral envelope Vowel recognition Backpropagation Speech recognition Regression analysis Link to publisher's homepage at http://ieeexplore.ieee.org Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction method is presented to identify vowels recorded from 80 Malaysian speakers. The features are obtained from Vocal Tract Model based on Bandwidth (BW) approach. The bandwidth is determined by finding the frequency where the spectral energy is 3dB below the peak. Average gain was calculated from these bandwidths. Classification results from Bandwidth Approach were then compared with results from 14 MFCC Coefficients using BPNN (Backpropagation Neural Network), MLR (Multinomial Logistic Regression) and LDA (Linear Discriminative Analysis). Classification accuracy obtained shows Bandwidth Approach performs better than MFCC using all these classifiers. 2009-12-10T06:21:46Z 2009-12-10T06:21:46Z 2009-05-25 Working Paper p.363-368 978-1-4244-4154-9 http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=5072013 http://hdl.handle.net/123456789/7399 en Proceedings of the 3rd Asia International Conference on Modelling and Simulation (AMS 2009) Institute of Electrical and Electronics Engineering (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bandwidth approach
Logistic regression
Neural network
Spectral envelope
Vowel recognition
Backpropagation
Speech recognition
Regression analysis
spellingShingle Bandwidth approach
Logistic regression
Neural network
Spectral envelope
Vowel recognition
Backpropagation
Speech recognition
Regression analysis
Fadzilah, Siraj
Shahrul Azmi, M. Y.
Paulraj, Murugesapandian
Sazali, Yaacob
Malaysian vowel recognition based on spectral envelope using bandwidth approach
description Link to publisher's homepage at http://ieeexplore.ieee.org
author2 fad173@uum.edu.my
author_facet fad173@uum.edu.my
Fadzilah, Siraj
Shahrul Azmi, M. Y.
Paulraj, Murugesapandian
Sazali, Yaacob
format Working Paper
author Fadzilah, Siraj
Shahrul Azmi, M. Y.
Paulraj, Murugesapandian
Sazali, Yaacob
author_sort Fadzilah, Siraj
title Malaysian vowel recognition based on spectral envelope using bandwidth approach
title_short Malaysian vowel recognition based on spectral envelope using bandwidth approach
title_full Malaysian vowel recognition based on spectral envelope using bandwidth approach
title_fullStr Malaysian vowel recognition based on spectral envelope using bandwidth approach
title_full_unstemmed Malaysian vowel recognition based on spectral envelope using bandwidth approach
title_sort malaysian vowel recognition based on spectral envelope using bandwidth approach
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7399
_version_ 1643788790815260672
score 13.214268

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