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An Emotion Recognition System based on Right Truncated Gaussian Mixture Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 42 - Number 10 |
| Year of Publication: 2012 |
| Authors: N. Murali Krishna, Y. Srinivas, P. V. Lakshmi |
10.5120/5733-7816
|
N. Murali Krishna, Y. Srinivas, P. V. Lakshmi . An Emotion Recognition System based on Right Truncated Gaussian Mixture Model. International Journal of Computer Applications. 42, 10 ( March 2012), 41-45. DOI=10.5120/5733-7816
Abstract
This article address a novel emotion recognition system based on the Truncated Gaussian mixture model . The proposed system has been experimented over an gender independent emotion recognition database In the recent past, many models have been listed in the literature based on the emotion recognition, but these papers are more focused towards the speech, ignoring the emotion of the speaker at the time of speech which may be of significant importance at some particular instances such as BPO. To overcome this, we present a model using Right Truncated Gaussian mixture model and K-means algorithm to classify the emotion speeches. MFCC features of the emotions are extracted. The proposed system has been experimented over an gender independent emotion recognition database. The results obtained are evaluated using a confusion Matrix and compared with that of the Gaussian mixture model . Our model achieved a recognized rate of above 90 %.
References
- Gregor Domes et al "Emotion Recognition in Borderline Personality Disorder- A review of the literature" journal of personality disorders,23(1),6-9,2009.
- George Almpanidis and Constantine Kotropoulos" Phonemic Segmentation Using the Generalised Gamma Distribution and Small Sample Bayesian Information Criterion. Vol 50,Issue-1,pp 38-55,January-2008.
- Lin Y. L and wei G" Speech Emotion Recognition based on HMM and SVM" 4th international conference on machine learning and cybernetics,Guangzhou,Vol. 8,pp4898-4901,18-aug-2005.
- Prasad Reddy P. V. G. D et al "Gender Based Emotion Recognition System for Telugu Rural Dialects Using Hidden Markov Models" journal of advanced research in computer engineering: journal of computiong Vol-2,c`issue 6,pp 94-98 ,june 2010.
- Forsyth M. and Jack M. ," Discriminating Semi-continuous HMM for Speaker Verification "IEEE Int. conf. Acoust . ,speech and signal processing ,Vol. 1,pp313-316,April-1994.
- Forsyth M. ," Discrimination observation probability hmm for speaker verification ",speech communication ,Vol. 17,pp. 117-129,1995.
- vibha Tivari"MFCC and its application in speaker recognition "international journal of emerging technology ISSN:0975-8364pp,19-22,2010.
- Arvid C. Johnson," Characteristics And Tables Of The Left-Truncated Normal Distribution" International Journal of Advanced Computer Science and Applications (IJACSA)pp133-139,May -2001.
- N. Murali Krishna, P. V. Lakshmi, Y. Srinivas and J. Sirisha Devi " emotion recognition using dynamic time warping technique for isolated words" International Journal of Computer Science(IJCSI)vol-8,Issue-5,Sept-2011.
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