Gaussian Mixture Model-based Feature Compensation with Application to Noise-robust Speech Recognition
碩士 === 國立中山大學 === 資訊工程學系研究所 === 100 === In this paper, we propose a new method for noise robustness base on Gaussian Mixture Model (GMM), and the method we proposed can estimate the noise feature effectively and reduce noise effect by plain fashion, and we can retain the smoothing and continuity fro...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/69780960016247960787 |