GA-Based Optimization of Temporal Filter for Robust Speech Recognition
碩士 === 國立暨南國際大學 === 電機工程學系 === 95 === This thesis proposed a new robust speech recognition technique in noisy environment. The feature extraction bases on MFCC (Mel-frequency cepstral coefficients), and template matching employs Hidden Markov Models (HMM). Since the performance of speech recognition...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/14018764062129674426 |