Noise robust phonetic classification with linear regularized least squares and second-order features

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

Volumn 4, Issue , 2007, Pages

  Rifkin, Ryan ^a   Schutte, Ken ^b   Saad, Michelle ^c   Bouvrie, Jake ^d,e   Glass, Jim ^b  

^a Honda R&D Americas Inc   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c AMERICAN UNIVERSITY OF BEIRUT   (Lebanon)

^d MIT CBCL   (United States)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Acoustic noise; Artificial intelligence; Speech analysis; Speech recognition

Indexed keywords

GAUSSIAN MIXTURE MODELS; PHONETIC CLASSIFICATION; SECOND ORDER FEATURES;

ACOUSTIC NOISE; ADDITIVE NOISE; ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; LEAST SQUARES APPROXIMATIONS; SPEECH RECOGNITION;

SPEECH ANALYSIS;

EID: 34547531458     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.367211     Document Type: Conference Paper

References (10)

1. Vladimir N. Vapnik, Statistical Learning Theory, John Wiley & Sons, 1998.
2. G. Wahba, Spline Models for Observational Data, vol. 59 of CBMS-NSF Regional Conference Series in Applied Mathematics, Society for Industrial & Applied Mathematics, 1990.
3. R. M. Rifkin, Everything Old Is New Again: A Fresh Look at Historical Approaches to Machine Learning, Ph.D. thesis, Massachusetts Institute of Technology, 2002.
4. F. Sha and L. K. Saul, "Large margin gaussian mixture modelling for phonetic classification and regression," in Proceedings of ICASSP, 2006.
5. G. H. Golub and C. F. Van Loan, Matrix Computations, The Johns Hopkins University Press, 3rd edition, 1996.
6. R. Rifkin and R. Lippert, "What you should know about matrix decompositions and regularized least squares," (2006, in preparation).
7. T. Evgeniou, M. Pontil, and T. Poggio, "Regularization networks and support vector machines," Advances In Computational Mathematics, vol. 13, no. 1, pp. 1-50, 2000.
8. A. Halberstadt and J. Glass, "Heterogeneous measurements and multiple classifiers for speech recognition," in Proceedings of ICSLP, 1998.
9. A. Varga, H. J. M. Steeneken, M. Tomlinson, and D. Jones, "The noisex-92 study on the effect of additive noise on automatic speech recognition," Technical Report, DRA Speech Research Unit, 1992.
10. A. Gunawardana, M. Mahajan, A. Acero, and J. C. Platt, "Hidden conditional random fields for phone classification," in Proceedings of Eurospeech, 2005.