The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature

碩士 === 中興大學 === 統計學研究所 === 99 === This paper is mainly to recognize 337 isolated mandarin words for speaker-dependent. We use the linear predictive cepstrum feature and Mel-Frequency cepstrum feature for each part of consonant and vowel. We would like to find the optimal combination for linear...

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Main Authors: Min-Chi Lin, 林敏琪
Other Authors: 李宗寶
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/47384103463915434812
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spelling ndltd-TW-099NCHU53370122015-10-13T20:18:51Z http://ndltd.ncl.edu.tw/handle/47384103463915434812 The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature 探討混合式最佳倒頻譜之特徵擷取對母音之影響 Min-Chi Lin 林敏琪 碩士 中興大學 統計學研究所 99 This paper is mainly to recognize 337 isolated mandarin words for speaker-dependent. We use the linear predictive cepstrum feature and Mel-Frequency cepstrum feature for each part of consonant and vowel. We would like to find the optimal combination for linear predictive cepstrum feature and Mel-frequency cepstrum feature base on the recognition rate. Furthermore, we also investigate the recognition rate for the change of duration on the time of consonant. In all the cases, the highest recognition rate in this paper is 97.44%. 李宗寶 2011 學位論文 ; thesis 59 zh-TW
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description 碩士 === 中興大學 === 統計學研究所 === 99 === This paper is mainly to recognize 337 isolated mandarin words for speaker-dependent. We use the linear predictive cepstrum feature and Mel-Frequency cepstrum feature for each part of consonant and vowel. We would like to find the optimal combination for linear predictive cepstrum feature and Mel-frequency cepstrum feature base on the recognition rate. Furthermore, we also investigate the recognition rate for the change of duration on the time of consonant. In all the cases, the highest recognition rate in this paper is 97.44%.
author2 李宗寶
author_facet 李宗寶
Min-Chi Lin
林敏琪
author Min-Chi Lin
林敏琪
spellingShingle Min-Chi Lin
林敏琪
The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature
author_sort Min-Chi Lin
title The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature
title_short The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature
title_full The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature
title_fullStr The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature
title_full_unstemmed The Investigation of Vowel Recognition for the Optimal Mixed Cepstrum Feature
title_sort investigation of vowel recognition for the optimal mixed cepstrum feature
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/47384103463915434812
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