Framewise phone classification using Support Vector Machines

7th International Conference on Spoken Language Processing, ICSLP 2002

Volumn , Issue , 2002, Pages 2645-2648

  Salomon, Jesper ^a   King, Simon ^b   Osborne, Miles ^c  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b Centre for Speech Technology Research   (United Kingdom)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HYBRID SYSTEMS; SUPPORT VECTOR MACHINES; TELEPHONE SETS; VECTORS;

FRONT END; KERNEL FISHER DISCRIMINANT; PHONE CLASSIFICATIONS; PHONETIC CLASSIFICATION; TEST SETS; VARIABLE LENGTH;

CLASSIFICATION (OF INFORMATION);

EID: 85009260832     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Tony Robinson, G. D. Cook, D. P. W. Ellis, E. Fosler-Lussier, S. J. Renals, and D. A. G. Williams, "Connectionist speech recognition of broadcast news," Speech Communication, 2001.
2. V. Vapnik, The Nature of Statistical Learning Theory, Springer, N. Y., 1995.
3. P. Clarkson and P. J Moreno, "On the use of support vector machines for phonetic classification," in Acoustics, Speech and Signal Processing, volume II, 2000, pp. 585-588.
4. N. Smith and M. Niranjan, "Data-dependent kernels in SVM classification of speech patterns," in Proc. ICSLP, Beijing, 2000, pp. 297-300.
5. A. Ganapathiraju, J. Hamaker, and J. Picone, "Hybrid SVM/HMM architectures for speech recognition," in Proc. ICSLP, Beijing, 2000.
6. Hiroshi Shimodaira, Ken-ichi Noma, Mitsuru Nakai, and Shigeki Sagayama, "Support vector machine with dynamic time-alignment kernel for speech recognition," in Proc. Eurospeech, September 2001.
7. N. Christianini, J. Platt and J. Shawe-Taylor, "Large margin DAGs for multiclass classification," Tech. Rep., Microsoft Research, Redmond, US, 1999.
8. Ronan Collobert and Samy Bengio, "SVMTorch: Support vector machines for large-scale regression problems," Journal of Machine Learning Research, vol. 1, pp. 143-160, 2001.
9. J. S. Garofolo, Getting started with the DARPA TIMIT CD-ROM: An acoustic phonetic continuous speech database, National Institute of Standards and Technology (NIST), Gaithersburgh, MD, 1988.
10. S. Mika, G. Ratsch, J. Weston, B. Schölkopf, and K.-R. Müller, "Fisher discriminant analysis with kernels," in Neural Networks for Signal Processing IX, Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, Eds. 1999, pp. 41-48, IEEE.
11. S. Mika, A. Smola, and B. Scholkopf, "An improved training algorithm for kernel fisher discriminants," 2001.
12. Ruxin Chen and L. H. Jamieson, "Experiments on the implementation of recurrent neural networks for speech phone recognition," in Proc. of the Thirtieth Annual Asilomar Conference on Signals, Systems and Computers, November 1996.