Sparse coding for speech recognition

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

Volumn , Issue , 2010, Pages 4346-4349

  Sivaram, G S V S ^a   Nemala, Sridhar Krishna ^a   Elhilali, Mounya ^a   Tran, Trac D ^a   Hermansky, Hynek ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Compressive sensing; Feature extraction; Sparse coding; Speech recognition

Indexed keywords

ACOUSTIC MODELING; AUDIO SIGNAL PROCESSING; CODES (SYMBOLS); COMPRESSED SENSING; EXTRACTION; FUNCTIONS; ITERATIVE METHODS; SPEECH COMMUNICATION; SPEECH RECOGNITION;

ACOUSTICS MODEL; BASE FUNCTION; COMPRESSIVE SENSING; FEATURE EXTRACTION TECHNIQUES; FEATURES EXTRACTION; LEARN+; LINEAR COMBINATIONS; OVER-COMPLETE; SPARSE CODING; TEMPORAL PATTERN;

FEATURE EXTRACTION;

EID: 78049398611     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495649     Document Type: Conference Paper

References (13)

1. N. Morgan et al., "Pushing the envelope-aside," IEEE Signal Processing Magazine, vol. 22, no. 5, pp. 81-88, 2005.
2. S. Zhao and N. Morgan, "Multi-stream spectro-temporal features for robust speech recognition," in INTERSPEECH. Brisbane, Australia, 2008.
3. N. Mesgarani, G.S.V.S. Sivaram, Sridhar Krishna Nemala, M. Elhilali, and H. Hermansky, "Discriminant Spectrotemporal Features for Phoneme Recognition," in INTERSPEECH. Brighton, 2009.
4. D.A. Depireux, J.Z. Simon, D.J. Klein, and S.A. Shamma, "Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex," Journal of Neurophysiology, vol. 85, no. 3, pp. 1220-1234, 2001.
5. B.A. Olshausen and D.J. Field, "Sparse coding with an over-complete basis set: A strategy employed by V1?," Vision research, vol. 37, no. 23, pp. 3311-3325, 1997.
6. MVS Shashanka, B. Raj, and P. Smaragdis, "Sparse overcomplete decomposition for single channel speaker separation," in ICASSP, 2007.
7. B.A. Olshausen and D.J Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, pp. 607-609, 1996.
8. E.J. Candès and M.B.Wakin, "An introduction to compressive sampling," IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 21-30, 2008.
9. D.L. Donoho, "Compressed sensing," IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289-1306, 2006.
10. "l1-MAGIC," Available: http://www.acm.caltech.edu/l1magic/.
11. M.D. Richard and R.P. Lippmann, "Neural network classifiers estimate Bayesian a posteriori probabilities," Neural computation, vol. 3, no. 4, pp. 461-483, 1991.
12. H. Bourlard and N.Morgan, Connectionist speech recognition: a hybrid approach, Kluwer Academic Pub, 1994.
13. K.F. Lee and H.W. Hon, "Speaker-independent phone recognition using hidden Markov models," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 37, no. 11, pp. 1641-1648, 1989.