Study of Cepstral Statistics Normalization Techniques for Robust Speech Recognition in Additive Noise Environments

碩士 === 國立暨南國際大學 === 電機工程學系 === 96 === The noise robustness property for an automatic speech recognition system is one of the most important factors to determine its recognition accuracy under a noise-corrupted environment. Among the various approaches, normalizing the statistical quantities of speec...

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Bibliographic Details
Main Authors: Kuang-chieh Wu, 吳光杰
Other Authors: Jeih-weih Hung
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/42766380153977215793