Discriminative Feature Extraction for Robust Audio Event Classification
碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 98 === In Tradition, audio event classification relies heavily on MFCCs (Mel-Frequency Cepstral Coefficients) features. However, MFCCs is originally designed for automatic speech recognition. It is not sure whether MFCCs are still the best features for audio eve...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/4v582f |