Auditory Front-Ends for Noise-Robust Automatic Speech Recognition

碩士 === 國立中山大學 === 資訊工程學系研究所 === 98 === The human auditory perception system is much more noise-robust than any state-of the art automatic speech recognition (ASR) system. It is expected that the noise-robustness of speech feature can be improved by employing the human auditory based feature extracti...

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Bibliographic Details
Main Authors: Ja-Zang Yeh, 葉佳璋
Other Authors: Chia-Ping Chen
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/65629008792906381107