On the Detection of Retroflex and Non-retroflex for Mandarin Chinese

碩士 === 國立清華大學 === 資訊工程學系 === 95 === This thesis presents the detection of retroflex and non-retroflex for Mandarin Chinese. The objective of our research is to determine whether an initial within a syllable obtained from forced alignment has the characteristics of a retroflex or not. The decision...

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Main Authors: Pai-Wei Lai, 賴百威
Other Authors: Jyh-Shing Roger Jang
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/04606452956493715578
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spelling ndltd-TW-095NTHU53920422015-10-13T16:51:14Z http://ndltd.ncl.edu.tw/handle/04606452956493715578 On the Detection of Retroflex and Non-retroflex for Mandarin Chinese 華語捲舌音與非捲舌音之偵測 Pai-Wei Lai 賴百威 碩士 國立清華大學 資訊工程學系 95 This thesis presents the detection of retroflex and non-retroflex for Mandarin Chinese. The objective of our research is to determine whether an initial within a syllable obtained from forced alignment has the characteristics of a retroflex or not. The decision rule used in this paper is similar to speaker verification. Firstly, GMM-based retroflex and non-retroflex models are trained. Secondly, we adjust the threshold of the likelihood ratio to achieve the equal error rate (EER). In addition to MFCC, spectrum moments and formants are also used as our speech features. The experimental results indicate that spectrum moments and formants are able to improve the performance of the retroflex and non-retroflex detection rate. The best equal error rate obtained from our experiments is 17.69%. Jyh-Shing Roger Jang 張智星 2007 學位論文 ; thesis 28 en_US
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description 碩士 === 國立清華大學 === 資訊工程學系 === 95 === This thesis presents the detection of retroflex and non-retroflex for Mandarin Chinese. The objective of our research is to determine whether an initial within a syllable obtained from forced alignment has the characteristics of a retroflex or not. The decision rule used in this paper is similar to speaker verification. Firstly, GMM-based retroflex and non-retroflex models are trained. Secondly, we adjust the threshold of the likelihood ratio to achieve the equal error rate (EER). In addition to MFCC, spectrum moments and formants are also used as our speech features. The experimental results indicate that spectrum moments and formants are able to improve the performance of the retroflex and non-retroflex detection rate. The best equal error rate obtained from our experiments is 17.69%.
author2 Jyh-Shing Roger Jang
author_facet Jyh-Shing Roger Jang
Pai-Wei Lai
賴百威
author Pai-Wei Lai
賴百威
spellingShingle Pai-Wei Lai
賴百威
On the Detection of Retroflex and Non-retroflex for Mandarin Chinese
author_sort Pai-Wei Lai
title On the Detection of Retroflex and Non-retroflex for Mandarin Chinese
title_short On the Detection of Retroflex and Non-retroflex for Mandarin Chinese
title_full On the Detection of Retroflex and Non-retroflex for Mandarin Chinese
title_fullStr On the Detection of Retroflex and Non-retroflex for Mandarin Chinese
title_full_unstemmed On the Detection of Retroflex and Non-retroflex for Mandarin Chinese
title_sort on the detection of retroflex and non-retroflex for mandarin chinese
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/04606452956493715578
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