Isolated Malayalam digit recogntion using support vector machines

2010 IEEE International Conference on Communication Control and Computing Technologies, ICCCCT 2010

Volumn , Issue , 2010, Pages 692-695

  Kurian, Cini ^a   Firoz Shah, A ^b   Balakrishnan, Kannan ^a  

^a Department of Physics   (India)

^b KANNUR UNIVERSITY   (India)

Author keywords

Malayalam language; Mel frequency cepstral coefficient; Speech recognition; Support vector machine

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CORE TECHNOLOGY; HUMAN BEING; MALAYALAM LANGUAGE; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; NATURAL COMMUNICATION; WIDE SPREADS;

COMMUNICATION SYSTEMS; GEARS; SPEECH TRANSMISSION; SUPPORT VECTOR MACHINES; VECTORS;

SPEECH RECOGNITION;

EID: 78751492802     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCCT.2010.5670751     Document Type: Conference Paper

References (12)

1. A. Ganapathiraju, J. Hamaker, and J. Picone, "Hybrid SVM/HMM architectures for speech recognition," in Proc. ICSLP, Beijing, 2000
2. A1exandros Karatzoglou, David Meyer,Kurt Homic , Support Vector Machines in R Journal of Statistical software April 2006, Volume 15, Issue 9 (5)
3. C. Chandra Sekhar, W.F.Lee, K. Takeda and F. Itakura Acoustic Modeling of Sub word Units Using Support Vector Machines, Workshop on Spoken Language Processing , TIFR, Mumbai, India
4. C. J.C. Burges, "A tutorial on support vector machines for pattern recognition," Knowledge Discovery Data Mining, vol. 2, no. 2, pp. 121-167, 1998.
5. Dimov, D., and Azamanov, I. (2005). " Experimental specifics of Using HMM in isolated word Speech recognition" .International Conference on Computer Systems and Technologies - CompSysTech '2005'.
6. Davis S and Mermelstei P, "Comparison of parametric representations for monosyllabic word Recognition in continuously spoken sentences", IEEE Trans. On ASSP,vol. 28, pp.357-366
7. F.Felinek, "Statistical Methodsfor Speech recognition" MIT Press, Cambridge, Massachusetts, USA,1997
8. nd edition,
9. Lawrence Rabiner, Biing-Hwang Juang, "Fundamentals of Speech Recognition", Pearson Education, 2008
10. Latifur Khan, Mamoun Awad Bhavani M. Thuraisingham" A new intrusion fi£tection system using support vector machines and hierarchical clustering , The VLDB Journal (2007) 16:507-521DOI 10.1007/s00778-006-0002-5
11. S.S Stevens and J. Volkman (1940), " The relation of pitch to Frequency", American Journal of Psychology, vol. 53(3), pp 329-353..
12. V. Vapnik, The Nature of Statistical Learning Theory, Springer,N.Y.,1995