Speech recognition with localized time-frequency pattern detectors

2007 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2007, Proceedings

Volumn , Issue , 2007, Pages 341-346

  Schutte, Ken ^a   Glass, James ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Acoustic modeling; Automatic speech recognition

Indexed keywords

LEARNING SYSTEMS; SPECTROGRAPHS; SPEECH;

ACOUSTIC MODEL; AURORA DATABASE; AUTOMATIC SPEECH RECOGNITION; BOOSTING ALGORITHM; LEARNING SEQUENCES; NEW APPROACHES; TEMPORAL DYNAMICS; TIME FREQUENCY;

SPEECH RECOGNITION;

EID: 44849131088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/asru.2007.4430135     Document Type: Conference Paper

References (11)

1. Y. Amit, A. Koloydenko, and P. Niyogi. Robust acoustic object detection. Journal of the Acoustical Society of America, 118:2634-2648, 2005.
2. J. Barker, M. Cooke, and D. Ellis. Decoding speech in the presence of other sources. Speech Communication, 45:5-25,2005.
3. T. Chi, P. Ru, and S. Shamma. Multiresolution spectrotemporal analysis of complex sounds. Journal of the Acoustical Society of America, 118:887-906, 2005.
4. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. In European Conference on Computational Learning Theory, pages 23-37, 1995.
5. H. Hermansky and S. Sharma. Temporal patterns (TRAPs) in ASR of noisy speech. In International Conference on Acoustics, Speech, and Signal Processing, 1997.
6. M. Kleinschmidt and D. Gelbart. Improving word accuracy with gabor feature extraction. In International Conference on Spoken Language Processing, 2002.
7. D. Pearce and H.-G. Hirsch. The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions. 2000.
8. R. E. Schapire. Using output codes to boost multiclass learning problems. In Proc. 14th International Conference on Machine Learning, pages 313-321. Morgan Kaufmann, 1997.
9. R. E. Schapire. The Boosting Approach to Machine Learning - An Overview. Springer, 2003.
10. K. N. Stevens. Acoustic Phonetics. The MIT Press, Cambridge, MA, 1998.
11. P. Viola and M. Jones. Robust real-time object detection. In Workshop on Statistical and Computational Theories of Vision, Vancouver, Canada, July 2001.