Speech and Non-Speech Classification Using Zero Crossing Rate of Autocorrelation Function
碩士 === 國立清華大學 === 統計學研究所 === 91 === In this thesis, we propose two new features for the classification of a speech frame into a voiced or an unvoiced frame. The first one is the zero crossing rate of a frame after rainfall. This helps to classify a silence frame from speech frames. The se...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/09062056114210554331 |