The Investigation of Capturing Mel-Frequency Cepstrum Coefficient Features on Mandarin Consonant Word Recognition.

碩士 === 中興大學 === 統計學研究所 === 99 === The aim of this paper is to discuss the 337 mandarin consonant word recognition under the vowel is correct. The feature of Mel-frequency cepstrum coefficient (MFCC) and k-nearest neighbor (KNN) method are used for the recognition. Four experimental factors are consi...

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Bibliographic Details
Main Authors: Wan-Yu Chen, 陳宛余
Other Authors: Chung-Bow Lee
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/33299797950806290067