Reference Model Weighting and Noise Variability Subspace Projection for Robust Speech Recognition
碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 95 === In this study we propose two methods to compensate the noisy environment mismatch, include (a) reference model weighting and (b)noise variability subspace projection. The first method uses collected noisy environment characteristics and only one input test utt...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2007
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Online Access: | http://ndltd.ncl.edu.tw/handle/48jgda |