Comparison of speech recognition techniques in a noisy environment

Comparison of speech recognition techniques in a noisy environment

In most speech recognition evaluation studies, the focus is usually on one single speech recognition technique such as Discrete Hidden Markov Modeling with codebooks of different sizes. Inter-technique comparison study using a com-mon database has not been systematically explored. In this thesis, a...

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Main Author: Tan, Chin Tuan.
Other Authors: Chang, Joseph Sylvester
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/19688
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-19688
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spelling sg-ntu-dr.10356-196882023-07-04T15:15:32Z Comparison of speech recognition techniques in a noisy environment Tan, Chin Tuan. Chang, Joseph Sylvester School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In most speech recognition evaluation studies, the focus is usually on one single speech recognition technique such as Discrete Hidden Markov Modeling with codebooks of different sizes. Inter-technique comparison study using a com-mon database has not been systematically explored. In this thesis, a com-parative study on three speech recognition techniques namely, Dynamic Time Warping (DTW), Discrete Hidden Markov Modeling (DHMM) and Neural Net-work(Multilayer Perceptron) (NN(MLP)) was conducted using one common database. Master of Engineering 2009-12-14T06:21:45Z 2009-12-14T06:21:45Z 1995 1995 Thesis http://hdl.handle.net/10356/19688 en NANYANG TECHNOLOGICAL UNIVERSITY 189 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Tan, Chin Tuan.
Comparison of speech recognition techniques in a noisy environment
description In most speech recognition evaluation studies, the focus is usually on one single speech recognition technique such as Discrete Hidden Markov Modeling with codebooks of different sizes. Inter-technique comparison study using a com-mon database has not been systematically explored. In this thesis, a com-parative study on three speech recognition techniques namely, Dynamic Time Warping (DTW), Discrete Hidden Markov Modeling (DHMM) and Neural Net-work(Multilayer Perceptron) (NN(MLP)) was conducted using one common database.
author2 Chang, Joseph Sylvester
author_facet Chang, Joseph Sylvester
Tan, Chin Tuan.
format Theses and Dissertations
author Tan, Chin Tuan.
author_sort Tan, Chin Tuan.
title Comparison of speech recognition techniques in a noisy environment
title_short Comparison of speech recognition techniques in a noisy environment
title_full Comparison of speech recognition techniques in a noisy environment
title_fullStr Comparison of speech recognition techniques in a noisy environment
title_full_unstemmed Comparison of speech recognition techniques in a noisy environment
title_sort comparison of speech recognition techniques in a noisy environment
publishDate 2009
url http://hdl.handle.net/10356/19688
_version_ 1772828496831184896

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