Gaussian Mixture Model with Application to Automatic Speech Recognition Feature Compensation in the Evaluation of Noisy Digital Corpora of Four Languages
碩士 === 國立中山大學 === 資訊工程學系研究所 === 101 === According to the traditional methods of noise robustness, the Minimum Mean Square Error(MMSE) feature transformation method was usually used to estimate clean feature. In order to maintain the smoothness and continuity from original feature, we use the metho...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/02619111367531464473 |