Using the Method of Common Vector to Recognize Isolated Mandarin Word and Investigation of Plosive
碩士 === 國立中興大學 === 統計學研究所 === 100 === The aim of this paper is to discuss the 1391 mandarin consonant word recognition. The feature of Mel-frequency cepstrum coefficient(Mfcc) and method of common vector are used for the recognition. Three experimental factors in paper we considered in this paper;...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/26995701883250292671 |
| Summary: | 碩士 === 國立中興大學 === 統計學研究所 === 100 === The aim of this paper is to discuss the 1391 mandarin consonant word recognition. The feature of Mel-frequency cepstrum coefficient(Mfcc) and method of common vector are used for the recognition. Three experimental factors in paper we considered
in this paper; That is “dimension of speech feature”, “the swing of frame” and “the length of frame”. The optimal parameter set is found to get the highest recognition rate. Among the averaged recognition rate, the best one in this experiment is 95.69%.
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