Improvement of 32-bit Embedded Speech Recognition Systems

碩士 === 國立清華大學 === 資訊工程學系 === 100 === This thesis analyzes and improves on the accuracy of the MFCCs (Mel-Frequency Cepstral Coefficients) feature extraction currently used in our lab’s fixed-point ASR (automatic speech recognition) system based on HTK (hidden Markov model toolkit). We propose three...

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Bibliographic Details
Main Authors: Hu, Jim, 扈均
Other Authors: 張智星
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/56955681118066905824