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...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/47366663775116977709 |