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Paper Information

Journal:   NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR   SUMMER 2017 , Volume 15 , Number 2; Page(s) 145 To 152.
 
Paper: 

MODEL-BASED CLASSIFICATION OF EMOTIONAL SPEECH USING NON-LINEAR DYNAMICS FEATURES

 
 
Author(s):  HARIMI A.*, AHMADYFARD A., SHAHZADI A., YAGHMAIE K.
 
* DEPT. OF COMP., SHAHROOD BRANCH, ISLAMIC AZAD UNIVERSITY, SHAHROOD, I.R., IRAN
 
Abstract: 

Recent developments in interactive and robotic systems have motivated researchers for recognizing human’s emotion from speech. The present study aimed to classify emotional speech signals using a two stage classifier based on arousal-valence emotion model. In this method, samples are firstly classified based on the arousal level using conventional prosodic and spectral features. Then, valence related emotions are classified using the proposed non-linear dynamics features (NLDs). NLDs are extracted from the geometrical properties of the reconstructed phase space of speech signal. For this purpose, four descriptor contours are employed to represent the geometrical properties of the reconstructed phase space. Then, the discrete cosine transform (DCT) is used to compress the information of these contours into a set of low order coefficients. The significant DCT coefficients of the descriptor contours form the proposed NLDs. The classification accuracy of the proposed system has been evaluated using the 10-fold cross-validation technique on the Berlin database. The average recognition rate of 96.35% and 87.18% were achieved for females and males, respectively. By considering the total number of male and female samples, the overall recognition rate of 92.34% is obtained for the proposed speech emotion recognition system.

 
Keyword(s): NON-LINEAR DYNAMICS FEATURES, PHASE SPACE RECONSTRUCTION, SPEECH EMOTION RECOGNITION, TANDEM CLASSIFIER, VALENCE RELATED EMOTIONS
 
 
References: 
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Cite:
APA: Copy

HARIMI, A., & AHMADYFARD, A., & SHAHZADI, A., & YAGHMAIE, K. (2017). MODEL-BASED CLASSIFICATION OF EMOTIONAL SPEECH USING NON-LINEAR DYNAMICS FEATURES. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 15(2), 145-152. https://www.sid.ir/en/journal/ViewPaper.aspx?id=543950



Vancouver: Copy

HARIMI A., AHMADYFARD A., SHAHZADI A., YAGHMAIE K.. MODEL-BASED CLASSIFICATION OF EMOTIONAL SPEECH USING NON-LINEAR DYNAMICS FEATURES. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR. 2017 [cited 2021April20];15(2):145-152. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=543950



IEEE: Copy

HARIMI, A., AHMADYFARD, A., SHAHZADI, A., YAGHMAIE, K., 2017. MODEL-BASED CLASSIFICATION OF EMOTIONAL SPEECH USING NON-LINEAR DYNAMICS FEATURES. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, [online] 15(2), pp.145-152. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=543950.



 
 
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