20Jul 2017

A CASE STUDY OF SPEECH EMOTION RECOGNITION.

  • Assistant Professor, E&TC DeptMET?s IOE, Adgaon,Nashik.
Crossref Cited-by Linking logo
  • Abstract
  • Keywords
  • References
  • Cite This Article as
  • Corresponding Author

The speech emotion recognition technology has a potential to provide considerable benefits to the national, international industry and society in general. Speech Emotion Recognition is a vital part of efficient human interaction and has become a new challenge to speech processing. In this paper speech emotion recognition system has been reviewed. Also Features and classifier for recognition of speech has been discussed.

  1. ?Facial expression recognition: A brief tutorial overview?, C. C. Chibelushi F. Bourel ,<em>CVonline: On-Line Compendium of Computer Vision</em> vol. 9, 2003.
  2. ?A Study of Speech Emotion Recognition Methods? by Aastha Joshi, RajneetKaur , IJCSMC, Vol. 2, Issue. 4, April 2013.
  3. ?Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System? by PavolPartila, MiroslavVoznak, and JaromirTovarek, The Scientific World Journal Volume 2015 (2015), Article ID 573068
  4. FEATURE EXTRACTION FOR SPEECH RECOGNITON?, Manish P. Kesarkar EE. Dept, IIT Bombay, November 2003.
  5. ?Speech Enhancement, Modeling and Recognition- Algorithms and Applications?, S. Ramakrishnan ISBN 978-953-51-0291-5, Published14, March, 2012.
  6. ?Automatic emotional speech classification?, D. Ververidis, C. Kotropoulos, and I. Pitas, in Proc. 2004 IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. 1, pp. 593-596, Montreal, May 2004
  7. ?Nonlinear Feature Based Classification of Speech Under Stress?, Guojun Zhou, Member, IEEE, John H. L. Hansen, Senior Member, IEEE, and James F. Kaiser, Fellow, IEEE, IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 9, NO. 3, MARCH 2001.
  8. ?Neural network models of sensory integration for improved vowel recognition?, B. P. Yuhas, M. H. Goldstein Jr., T. J. Sejnowski, and R. E. Jenkins Proc. IEEE, vol. 78, Issue 10, pp.1658?1668, Oct. 1990.
  9. ?Voice Signal Processing For Speech Synthesis?, Ovidiu Buza1, Gavril Toderean1, Alina Nica1, AlexandruCaruntu, IEEE International Conference on Automation, Quality and Testing Robotics, Vol. 2, pp. 360-364, 25-28 May-2006
  10. ?Automatic Speech Emotion Recognition Using Support Vector Machine?, P.Shen, Z. Changjun, X. Chen, International Conference On Electronic And Mechanical Engineering And Information Technology, 2011.
  11. ?A Comparative Study of Audio Features For Audio to Visual Cobversion in MPEG-4 Compliant Facial Animation?, Lei Xie, Zhi-Qiang Liu, Proc. of ICMLC, Dalian, 13-16 Aug-
  12. ?A Survey: Pre-processing and Feature Extraction Techniques for Depression Analysis Using Speech Signal? , DiptiPatil,ShamlaMantri,RiaAgrawal, ShraddhaBhattad,AnkitPadiya, RakshitRathi,International Journal of Computer Science Trends and Technology (IJCST) ?Volume 2 Issue 2, Mar-Apr 2014
  13. ?Gender driven emotion recognition through speech signals for ambient intelligence applications? Igor Bisio, Alessandro Delfino, Fabio Lavagetto, Mario Marchese and Andrea Sciarrone. IEEE Transactions on Emerging Topics in Computing, vol. 1, no. 2, 244-257, December 2013.
  14. ?Emotion Recognition through Speech?, Akshay S. Utane, S.L. Nalbalwar, Ph.D, IJAIS ? ISSN : 2249-0868, NCIPET 2013.

[Anni. U. Gupta, M. S. Wagh and P. A. Patil. (2017); A CASE STUDY OF SPEECH EMOTION RECOGNITION. Int. J. of Adv. Res. 5 (Jul). 957-962] (ISSN 2320-5407). www.journalijar.com

Anni Gupta
MET IOE

DOI:

Article DOI: 10.21474/IJAR01/4803      
DOI URL: http://dx.doi.org/10.21474/IJAR01/4803

Download Full Paper

Download PDF No. of Downloads: 59 | No. of Views: 182