NDLI: Speech emotion recognition using auditory cortex

Content Provider	IEEE Xplore Digital Library
Author	Wahab, A. Chai Quek De, S.
Copyright Year	2007
Description	Author affiliation: Nanyang Technol. Univ., Singapore (Wahab, A.; Chai Quek; De, S.)
Abstract	The importance of recognizing emotions from human speech has grown with the increasing role of spoken language interfaces in human-computer interaction applications. The extraction of emotional features from human speech and the classification of different emotion would require a more complex architecture of the human brain. This paper study novel neuro-psychologically inspired computational intelligence techniques that are able to mimic the learning process of the brain in formulating the emotion exhibited by the human under observation using the auditory cortex. We first extract the emotion features using Mel frequency cepstral coefficients (MFCC) from the sampled speech signal and detecting cross cultural emotions from the speech with a high degree of accuracy. Experimental results shows the capability of the architecture to detect and distinguish the emotional state of happiness from anger using data obtained from real-life, unobtrusive environment and an online call centre archive.
Starting Page	2658
Ending Page	2664
File Size	373149
Page Count	7
File Format	PDF
ISBN	9781424413393
DOI	10.1109/CEC.2007.4424806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-25
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Humans Feature extraction Mel frequency cepstral coefficient Speech recognition Natural languages Computer architecture Computational intelligence Data mining Signal detection
Content Type	Text
Resource Type	Article

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