Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English

碩士 === 國立臺灣大學 === 電信工程學研究所 === 102 === Most digital speech processing techniques are often designed for certain languages. Therefore, for works that contain cross-language data, information of all languages is required. Yet, when faced upon corpora of multiple languages in the globalized world today...

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Main Authors: Tien-Han Yu, 余典翰
Other Authors: Lin-shan Lee
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/68415396313329030916
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spelling ndltd-TW-102NTU054350252016-03-09T04:24:04Z http://ndltd.ncl.edu.tw/handle/68415396313329030916 Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English 發聲特徵對跨語言音素之代表性-以中英語為例 Tien-Han Yu 余典翰 碩士 國立臺灣大學 電信工程學研究所 102 Most digital speech processing techniques are often designed for certain languages. Therefore, for works that contain cross-language data, information of all languages is required. Yet, when faced upon corpora of multiple languages in the globalized world today, the amount of data would be too mass and complex. Performance and processing speed would then inevitably become an issue. However, we can look at the speech of all languages from an articulatory point of view. By using articulatory features, it is possible to represent all phones of all languages with limited numbers of features. With these features, speech can be easily handled regardless of language. In this research, a set of articulatory features is proposed to represent phones of Mandarin and English, based on three corpora: TIMIT, COSPRO and DSP. Artificial neural networks are used to train the relationship between acoustics and articulatory features. With accuracy tested, the models may be ready for future applications. Lin-shan Lee 李琳山 2014 學位論文 ; thesis 60 zh-TW
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description 碩士 === 國立臺灣大學 === 電信工程學研究所 === 102 === Most digital speech processing techniques are often designed for certain languages. Therefore, for works that contain cross-language data, information of all languages is required. Yet, when faced upon corpora of multiple languages in the globalized world today, the amount of data would be too mass and complex. Performance and processing speed would then inevitably become an issue. However, we can look at the speech of all languages from an articulatory point of view. By using articulatory features, it is possible to represent all phones of all languages with limited numbers of features. With these features, speech can be easily handled regardless of language. In this research, a set of articulatory features is proposed to represent phones of Mandarin and English, based on three corpora: TIMIT, COSPRO and DSP. Artificial neural networks are used to train the relationship between acoustics and articulatory features. With accuracy tested, the models may be ready for future applications.
author2 Lin-shan Lee
author_facet Lin-shan Lee
Tien-Han Yu
余典翰
author Tien-Han Yu
余典翰
spellingShingle Tien-Han Yu
余典翰
Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English
author_sort Tien-Han Yu
title Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English
title_short Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English
title_full Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English
title_fullStr Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English
title_full_unstemmed Articulatory Features’ Representativeness of Phones Across Languages – Case of Mandarin &; English
title_sort articulatory features’ representativeness of phones across languages – case of mandarin &; english
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/68415396313329030916
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