Using the Method of Common Vector to Recognize Isolated Mandarin Word for Speaker-dependent System with Optimal Mel-frequency Cepstrum Coefficient
碩士 === 國立中興大學 === 統計學研究所 === 99 === The paper aims to investigate the recognition of 340 isolated mandarin words by using the feature of Mel-frequency cepstrum coefficient, since it is the most well-known feature which can be less susceptible to noise interference. The speech model is constructed by...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2011
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Online Access: | http://ndltd.ncl.edu.tw/handle/zwc24k |