Confidence measures for keyword spotting using suport vector machines

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2003, Pages 588-591

  Benayed, Y ^a   Fohr, D ^a   Haton, J P ^a   Chottel, G ^b  

^a LORIA   (France)

^b INSTITUT TELECOM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

SUPPORT VECTOR MACHINES (SVM);

ERROR DETECTION; MARKOV PROCESSES; PROBLEM SOLVING; USER INTERFACES; VECTORS; VOCABULARY CONTROL;

SPEECH RECOGNITION;

EID: 0141813795     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. V. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, 1995.
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3. Y. BenAyed, D. Fohr, J. P. Haton, and G. Chollet, "Recognition and rejection performance in wordspotting systems using support vector machines," in 2nd WSEAS International Conference on Signal, Speech and Image, Skiathos Island, Greece, 2002.
4. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, 1998.
5. C. Cortes and V. Vapnik, "Support-vector networks," Machine Learning, vol. 20, no. 3, 1995.
6. M. W. Koo, "An utterance verification system based on subword modeling for a vocabulary independent speech recognition system," in 6th European Conference on Speech Communication and Technology, Budapest, Hungary, 1999.
7. V. Vapnik, Statistical Learning Theory, John Wiley and Sons, 1998.