Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System
碩士 === 中興大學 === 統計學研究所 === 99 === This paper is mainly to discuss the speech recognition of 337 isolation mandarin words for speaker dependent. The feature is Mel-frequency cepstrum coefficient(Mfcc), and the method is k-nearest neighbor(knn), for the recognition, we try to find out the optimal par...
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ndltd-TW-099NCHU53370082015-10-13T20:18:50Z http://ndltd.ncl.edu.tw/handle/47366663775116977709 Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System 利用K最近鄰居方法以及最佳梅爾頻率倒頻譜係數之特徵辨識特定語者之中文單音 Jhong-Da Wu 吳忠達 碩士 中興大學 統計學研究所 99 This paper is mainly to discuss the speech recognition of 337 isolation mandarin words for speaker dependent. The feature is Mel-frequency cepstrum coefficient(Mfcc), and the method is k-nearest neighbor(knn), for the recognition, we try to find out the optimal parameters to obtain high performance recognition. Six experimental factors(the length of frame, the dimension of Mfcc, the number of frame, the weight of consonant and vowel, the swing of frame and the duration of consonant) we considered in the work. We find that the best average rate of recognition in database attains 91.5%. Chung-Bow Lee 李宗寶 2011 學位論文 ; thesis 40 zh-TW |
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碩士 === 中興大學 === 統計學研究所 === 99 === This paper is mainly to discuss the speech recognition of 337 isolation mandarin words for speaker dependent. The feature is Mel-frequency cepstrum coefficient(Mfcc), and the method is k-nearest neighbor(knn), for the recognition, we try to find out the optimal parameters to obtain high performance recognition. Six experimental factors(the length of frame, the dimension of Mfcc, the number of frame, the weight of consonant and vowel, the swing of frame and the duration of consonant) we considered in the work. We find that the best average rate of recognition in database attains 91.5%.
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author2 |
Chung-Bow Lee |
author_facet |
Chung-Bow Lee Jhong-Da Wu 吳忠達 |
author |
Jhong-Da Wu 吳忠達 |
spellingShingle |
Jhong-Da Wu 吳忠達 Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System |
author_sort |
Jhong-Da Wu |
title |
Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System |
title_short |
Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System |
title_full |
Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System |
title_fullStr |
Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System |
title_full_unstemmed |
Using K-Nearest Neighbor Method and the Optimal Mel-Frequency Cepstrum Coefficient Feature to Recognize Isolated Mandarin Word for Speaker-Dependent System |
title_sort |
using k-nearest neighbor method and the optimal mel-frequency cepstrum coefficient feature to recognize isolated mandarin word for speaker-dependent system |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/47366663775116977709 |
work_keys_str_mv |
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