Automatic speech classification to five emotional states based on gender information

  title={Automatic speech classification to five emotional states based on gender information},
  author={Dimitrios Ververidis and Constantine Kotropoulos},
  journal={2004 12th European Signal Processing Conference},
Emotional speech recognition aims to automatically classify speech units (e.g., utterances) into emotional states, such as anger, happiness, neutral, sadness and surprise. The major contribution of this paper is to rate the discriminating capability of a set of features for emotional speech recognition when gender information is taken into consideration. A total of 87 features has been calculated over 500 utterances of the Danish Emotional Speech database. The Sequential Forward Selection… CONTINUE READING
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 119 citations. REVIEW CITATIONS
75 Citations
8 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 75 extracted citations

119 Citations

Citations per Year
Semantic Scholar estimates that this publication has 119 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-8 of 8 references

Colea : A MATLAB softwaretool for Speech Analysis ”

  • C. Kotropoulos
  • Pattern Recogntion : A Statistical Approach
  • 2003

Colea: A MATLAB software-tool for Speech Analysis”, University of Arkansas, May 2003, loizou/speech/colea.htm

  • P. Loizou
  • 2003
1 Excerpt

Auditory toolbox in MAT- LAB

  • S. Malcolm
  • University of Purdue,
  • 1998

Documentation of the Danish Emotional Speech Database (DES)

  • I. S. Engberg, A. V. Hansen
  • Internal AAU report, Center for Person…
  • 1996
2 Excerpts

Introduction to Statistical Pattern Recognition, N.Y.

  • K. Fugunaka
  • 1990
1 Excerpt

Pattern Recogntion: A Statistical Approach, London: Prentice-Hall International

  • P. A. Devijver, J. Kittler
  • 1982
1 Excerpt

Similar Papers

Loading similar papers…