Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique

碩士 === 國立清華大學 === 電機工程學系 === 87 === A safe environment for drivers is very important for life today, but handset without hand-free system in a car always makes it dangerous to talk when driving. Thus an automatic speech recognition system is needed, but serious noise effect in car environ...

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Bibliographic Details
Main Authors:	Tsung Tai Wu, 吳宗泰
Other Authors:	Tai-Lang Jong
Format:	Others
Language:	zh-TW
Published:	1999
Online Access:	http://ndltd.ncl.edu.tw/handle/53713281353696608699

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spelling	ndltd-TW-087NTHU04420412015-10-13T11:46:55Z http://ndltd.ncl.edu.tw/handle/53713281353696608699 Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique 利用小波轉換為基礎的適應性雜訊消除技術於噪音干擾下中文連續語音辨識之研究 Tsung Tai Wu 吳宗泰碩士國立清華大學電機工程學系 87 A safe environment for drivers is very important for life today, but handset without hand-free system in a car always makes it dangerous to talk when driving. Thus an automatic speech recognition system is needed, but serious noise effect in car environment makes speech recognition result drastically decayed. A wavelet-based adaptive noise cancellation system is proposed to combat this problem and tries to increase the recognition rate. The MAT-160 database is used in the experiment for the training data, and the recognition result in the proposed system is six times better than the result without the proposed system when SNR is -5, and two times when SNR is 0. Tai-Lang Jong 鐘太郎 1999 學位論文 ; thesis 60 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立清華大學 === 電機工程學系 === 87 === A safe environment for drivers is very important for life today, but handset without hand-free system in a car always makes it dangerous to talk when driving. Thus an automatic speech recognition system is needed, but serious noise effect in car environment makes speech recognition result drastically decayed. A wavelet-based adaptive noise cancellation system is proposed to combat this problem and tries to increase the recognition rate. The MAT-160 database is used in the experiment for the training data, and the recognition result in the proposed system is six times better than the result without the proposed system when SNR is -5, and two times when SNR is 0.
author2	Tai-Lang Jong
author_facet	Tai-Lang Jong Tsung Tai Wu 吳宗泰
author	Tsung Tai Wu 吳宗泰
spellingShingle	Tsung Tai Wu 吳宗泰 Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique
author_sort	Tsung Tai Wu
title	Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique
title_short	Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique
title_full	Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique
title_fullStr	Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique
title_full_unstemmed	Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique
title_sort	continuous mandarin speech recognition under noisy environment using wavelet-based adaptive noise cancellation technique
publishDate	1999
url	http://ndltd.ncl.edu.tw/handle/53713281353696608699
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Continuous Mandarin Speech Recognition under Noisy Environment Using Wavelet-Based Adaptive Noise Cancellation Technique

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