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- W2767106385 abstract "The growth in human computer interaction has necessitated the requirement of accurate recognition of emotion from speech data. This paper presents a new novel feature called TEO (Teager Energy Operator) Slope for emotion recognition. The feature is obtained by applying least square fit instead of applying DCT in TEO feature. The feature was tested on the publically available Berlin Emotion Database (EMO-DB) using a GMM classifier. TEO Slope feature based emotion recognition system shows a significant improvement over MFCC based baseline system by 2% and TEO feature based system by 6% in terms of overall accuracy. Also the feature set obtained by fusion of MFCC, its delta and TEO Slope was evaluated and 60% accuracy was obtained. The results show that the TEO Slope is a promising feature in speech emotion recognition system." @default.
- W2767106385 created "2017-11-10" @default.
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- W2767106385 date "2017-07-01" @default.
- W2767106385 modified "2023-09-27" @default.
- W2767106385 title "Significance of teo slope feature in speech emotion recognition" @default.
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- W2767106385 doi "https://doi.org/10.1109/netact.2017.8076811" @default.
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