Wavelet based feature combination for recognition of emotions
In this paper, authors tried to develop reduced combinational features for emotional speech recognition. The spectral/cepstral features like wavelet coefficient, LPCC (linear prediction cepstral coefficient) and MFCC (mel-frequency cepstral coefficient) are used as baseline features. The frequency v...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2018-12-01
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Series: | Ain Shams Engineering Journal |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447916301514 |