NDLI: Recognition of emotion using non-linear dynamics of speech

Content Provider	IEEE Xplore Digital Library
Author	Harimi, A. Shahzadi, A. Ahmadyfard, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Semnan Univ., Semnan, Iran (Harimi, A.; Shahzadi, A.; Ahmadyfard, A.)
Abstract	Recognition of human's emotion from speech has become one of the most challenging and attractive fields of research in speech processing area. The present study aimed to detect valence of emotions, using Non-Linear Dynamic features (NLDs). NLDs are extracted from the Discrete Cosine Transform (DCT) of descriptor contours computed from Phase Space Reconstruction (PSR) of speech. These features are used to estimate emotion primitives in 3D continuous emotion space on the VAM database using Support Vector Regression (SVR) under the Leave-One-Out (LOO) testing technique. Feature selection is performed using Sequential Forward Selection (SFS). Activation, valence and dominance of emotions are estimated by the best correlation of 85.06%, 53.39% and 84.68%, respectively.
Starting Page	446
Ending Page	451
File Size	310553
Page Count	6
File Format	PDF
e-ISBN	9781479953592
DOI	10.1109/ISTEL.2014.7000745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-09
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation coefficient Emotion recognition Phase Space Reconstruction Correlation Databases Speech recognition Speech Feature extraction Non-Linear Dynamic features Speech emotion recognition
Content Type	Text
Resource Type	Article

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