Subspace Approach For Speech Signal Modelling And Classification
Throughout the thesis, the proposed subspace classifiers are assessed on an isolated digit speech recognition problem. For purposes of comparison, the experiments also include two commonly used speech recognizers, i.e., the LPCC and MFCC recognizers.
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my-mmu-ep.15382010-10-04T08:23:25Z Subspace Approach For Speech Signal Modelling And Classification 2007-09 Tan, Alan Wee Chiat TK7800-8360 Electronics Throughout the thesis, the proposed subspace classifiers are assessed on an isolated digit speech recognition problem. For purposes of comparison, the experiments also include two commonly used speech recognizers, i.e., the LPCC and MFCC recognizers. 2007-09 Thesis http://shdl.mmu.edu.my/1538/ http://myto.perpun.net.my/metoalogin/logina.php phd doctoral Multimedia University Research Library |
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TK7800-8360 Electronics |
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TK7800-8360 Electronics Tan, Alan Wee Chiat Subspace Approach For Speech Signal Modelling And Classification |
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Throughout the thesis, the proposed subspace classifiers are assessed on an isolated digit speech recognition problem. For purposes of comparison, the experiments also include two commonly used speech recognizers, i.e., the LPCC and MFCC recognizers. |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
Tan, Alan Wee Chiat |
author_facet |
Tan, Alan Wee Chiat |
author_sort |
Tan, Alan Wee Chiat |
title |
Subspace Approach For Speech Signal Modelling And Classification |
title_short |
Subspace Approach For Speech Signal Modelling And Classification |
title_full |
Subspace Approach For Speech Signal Modelling And Classification |
title_fullStr |
Subspace Approach For Speech Signal Modelling And Classification |
title_full_unstemmed |
Subspace Approach For Speech Signal Modelling And Classification |
title_sort |
subspace approach for speech signal modelling and classification |
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Multimedia University |
granting_department |
Research Library |
publishDate |
2007 |
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1747829396073349120 |