Speech Emotion Recognition Methods

Authors

  • B.Kishore Babu
  • T Annamani

DOI:

https://doi.org/10.46243/jstj.2018.v3.i2.162

Keywords:

- SER System, prosodic and spectral features, SVM, HMM, KNN

Abstract

Speech Emotion Recognition is a current topic of research since it has wide range of applications. Speech Emotion Recognition is a vital part of affective human interaction and has become a new challenge to speech processing. The work presented in this paper focus on study of various speech emotions recognition methods

References

Ayadi M. E., Kamel M. S. and Karray F., „Survey on Speech Emotion Recognition: Features, Classification Schemes, and Databases‟, Pattern Recognition, 44(16), 572-587, 2011

Zhou y., Sun Y., Zhang J, Yan Y., "Speech Emotion Recognition using Both Spectral and Prosodic Features", IEEE, 23(5), 545-549, 2009

Yashpalsing Chavhan, M. L. Dhore, Pallavi Yesaware, “Speech Emotion Recognition Using Support Vector Machine”, International Journal of Computer Applications, vol.1, pp.6-9,February 2010

Xia Mao, Lijiang Chen, Liqin Fu, “Multi-level Speech Emotion Recognition Based on HMM and ANN”, 2009 WRI World Congress, Computer Science and Information Engineering, pp.225-229, March 2009

Yixiong Pan, Peipei Shen and Liping Shen, “Speech Emotion Recognition Using Support Vector Machine”, International Journal of Smart Home, Vol. 6, No. 2, April, 2012. [6][Online].Available: http://crteknologies.fr/projects/emospeech/

D. Ververidis, C. Kotropoulos, and I. Pitas, “Automatic emotional speech classification”, in Proc. 2004 IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. 1, pp. 593-596, Montreal, May 2004

F.Yu, E.Chang, Y.Xu, H.Shum, “Emotion detection from speech to enrich multimedia content”, Lecture Notes In Computer Science,Vol.2195, 550-557, 2001

T.-L. Pao, Y.-T. Chen, J.-H. Yeh, P.-J. Li, “Mandarin emotional speech recognition based on SVM and NN”, Proceedings of the 18th International Conference on Pattern Recognition (ICPR?06), vol. 1, pp. 1096- 1100,September 2006

B. Schuller, G. Rigoll, M. Lang, “Hidden Markov model-based speech emotion recognition”, Proceedings of the IEEE ICASSP Conference on Acoustics,Speech and Signal Processing, vol.2, pp. 1-4, April 2003

Published

2018-03-01

How to Cite

B.Kishore Babu, & T Annamani. (2018). Speech Emotion Recognition Methods. Journal of Science & Technology , 3(2), 18–20. https://doi.org/10.46243/jstj.2018.v3.i2.162