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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2008
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Online Access: | http://ndltd.ncl.edu.tw/handle/42766380153977215793 |