Speech Emotion Recognition using 2D texture features
碩士 === 中山醫學大學 === 應用資訊科學學系碩士班 === 101 === Now, many people have series work stress, it will result in negative emotion. Therefore, this paper proposes Speech Emotion Recognition using 2D texture features. First, we use spectrogram technology to transform 1D signal into 2D signal. Next, we use cubic...
| 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/6y77cs |