Robust Speech Recognition with Two-dimensional Frame-and-feature Weighting and Modulation Spectrum Normalization
碩士 === 國立臺灣大學 === 電信工程學研究所 === 100 === In this paper we propose a new approach of two-dimensional frame-and-feature weighted Viterbi decoding performed at the recognizer back-end for robust speech recognition. The frame weighting is based on an Support Vector Machine (SVM) classifier considering the...
| 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/80127356350852988068 |