| Summary: | 碩士 === 國立中興大學 === 統計學研究所 === 100 === This study is mainly to recognize 1391 isolated mandarin words for speaker-dependent. I divide the contents into two parts that will be discussed in the following paragraphs. The first part is the recognition of retroflex consonants. The second part is to recognize the 1391 vowel of the isolated mandarin words. We use Mel-Frequency Cepstrum Coefficient (Mfcc) and Uniform Cepstrum respectively to analyze features. Then we use the method of K-nearest neighbor (KNN) for the recognition. Five experimental factors are considered in the paper. That is, “the swing of frame”, “the number of frame”, “the length of frame”, “the dimension of frame” and "the usage of Delta- Mel-Frequency Cepstrum Coefficient”.
The experiment uses 12 groups’ database including mine. Finally, I find that the best recognition rate of retroflex consonants in database is 98% and the best recognition rate of 1391 vowel of the isolated mandarin words is 90.8% in the different combinations of the parameters.
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