Automatic Segmentation and Identification of Mixed-Language Speech Using delta-BIC and Support Vector Machines
碩士 === 國立中山大學 === 資訊工程學系研究所 === 96 === This thesis proposes an approach to segmenting and identifying mixed-language speech. Automatic LID can be divided into four steps, feature extraction, segmentation, segment clustering, and re-labeling. In feature extraction, we compare the group delay...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/rv6bmu |