The Development of Robust Speech Recognition system based on iOS devices

碩士 === 元智大學 === 通訊工程學系 === 101 === The thesis presents the robust techniques for resource-constrained speech recognition (SR) on iOS mobile devices. Among the related issues and techniques we explore are: (1) A POSIX threads-based framework is designed for SR on iOS devices and thus a significant re...

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Main Authors: Chun-Wei Lu, 呂俊緯
Other Authors: Wei-Tyng Hong
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/91978061275964550941
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spelling ndltd-TW-101YZU056500042015-10-13T22:40:49Z http://ndltd.ncl.edu.tw/handle/91978061275964550941 The Development of Robust Speech Recognition system based on iOS devices 基於iOS平臺的強健式語音辨認系統開發 Chun-Wei Lu 呂俊緯 碩士 元智大學 通訊工程學系 101 The thesis presents the robust techniques for resource-constrained speech recognition (SR) on iOS mobile devices. Among the related issues and techniques we explore are: (1) A POSIX threads-based framework is designed for SR on iOS devices and thus a significant reducing of total response time is obtained. (2) A novel UED (Utterance-End Detection) is integrated with SR to eliminate redundant computation. (3) The robust acoustic models are incorporated in SR for achieving good performances in noisy environments. Finally, our experimental results indicate that the proposed methods are operative for SR on iOS devices. Wei-Tyng Hong 洪維廷 學位論文 ; thesis 50 zh-TW
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description 碩士 === 元智大學 === 通訊工程學系 === 101 === The thesis presents the robust techniques for resource-constrained speech recognition (SR) on iOS mobile devices. Among the related issues and techniques we explore are: (1) A POSIX threads-based framework is designed for SR on iOS devices and thus a significant reducing of total response time is obtained. (2) A novel UED (Utterance-End Detection) is integrated with SR to eliminate redundant computation. (3) The robust acoustic models are incorporated in SR for achieving good performances in noisy environments. Finally, our experimental results indicate that the proposed methods are operative for SR on iOS devices.
author2 Wei-Tyng Hong
author_facet Wei-Tyng Hong
Chun-Wei Lu
呂俊緯
author Chun-Wei Lu
呂俊緯
spellingShingle Chun-Wei Lu
呂俊緯
The Development of Robust Speech Recognition system based on iOS devices
author_sort Chun-Wei Lu
title The Development of Robust Speech Recognition system based on iOS devices
title_short The Development of Robust Speech Recognition system based on iOS devices
title_full The Development of Robust Speech Recognition system based on iOS devices
title_fullStr The Development of Robust Speech Recognition system based on iOS devices
title_full_unstemmed The Development of Robust Speech Recognition system based on iOS devices
title_sort development of robust speech recognition system based on ios devices
url http://ndltd.ncl.edu.tw/handle/91978061275964550941
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