Tuning support vector machines for robust phoneme classification with acoustic waveforms

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2009, Pages 2391-2394

  Yousafzai, Jibran ^a   Cvetković, Zoran ^a   Sollich, Peter ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Kernels; Phoneme classification; Robustness; Support vector machines

Indexed keywords

ACOUSTIC WAVEFORM; CEPSTRAL; CLASSIFICATION PERFORMANCE; HIGH NOISE; KERNELS; NOISE LEVELS; PHONEME CLASSIFICATION; WORK FOCUS;

ACOUSTIC WAVES; SPEECH COMMUNICATION; SUPPORT VECTOR MACHINES; VECTORS;

ACOUSTICS;

EID: 70450190485     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. G. Miller and P. Nicely, "An Analysis of Perceptual Confusions among some English Consonants," J. of the Acous. Soc. of America, vol. 27, no. 2, pp. 338-352, 1955.
2. H. Hermansky, "PLP Analysis of Speech," J. of the Acous. Soc. of America, vol. 87, no. 4, pp. 1738-1752, 1990.
3. O. Viikki and K. Laurila, "Cepstral Domain Segmental Feature Vector Normalization for Noise Robust Speech Recognition," Speech Comm., vol. 25, pp. 133-147, 1998.
4. M. Gales and S. Young, "Robust Continuous Speech Recognition using Parallel Model Combination," IEEE Trans. on Speech and Audio Proc., pp. 352-359, 1996.
5. J. Yousafzai, Z. Cvetković, and P. Sollich, "Custom-Designed SVM Kernels for Improved Robustness of Phoneme Classification," EUSIPCO, 2009.
6. N. Smith and M. Gales, "Speech Recognition using SVMs," in Advances in Neural Information Processing Systems 14. 2002, pp. 1197-1204, MIT Press.
7. S. E. Krger, M. Schaffner, M. Katz, E. Andelic, and A. Wendemuth, "Speech recognition with Support Vector Machines in a Hybrid System," in In Proc. EuroSpeech, 2005, 2005, pp. 993-996.
8. T. Dietterich and G. Bakiri, "Solving Multiclass Learning Problems via Error-Correcting Output Codes," J. of AI Research, vol. 2, pp. 263-286, 1995.
9. V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, 1995.
10. S. Phatak and J. B. Allen, "Consonant and Vowel Confusions in Speech-weighted Noise ," J. of the Acous. Soc. of America, vol. 121, Apr. 2007.
11. W. Fisher, G. Doddington, and K. Goudie-Marshall, "DARPA Speech Recognition Research Database," DARPA Sp. Recogn. Workshop, pp. 93-99, 1986.
12. K. F. Lee and H. W. Hon, "Speaker-Independent Phone Recognition Using Hidden Markov Models," IEEE Trans. Ac. Speech Sig. Proc., vol. 37, no. 11, 1989.
13. P. Clarkson and P. Moreno, "On the Use of Support Vector Machines for Phonetic Classification," ICASSP, 1999.
14. K. Crammer and Y. Singer, "On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines," J. Mach. Learn. Res., vol. 2, pp. 265-292, 2002.