Physiologically-motivated synchrony-based processing for robust automatic speech recognition

INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

Volumn 3, Issue , 2006, Pages 1483-1486

  Kim, Chanwoo ^a   Chiu, Yu Hsiang ^a   Stern, Richard M ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Auditory modeling; Auditory snchrony; Robust speech recognition

Indexed keywords

DEEP NEURAL NETWORKS; PHYSIOLOGY; SIGNAL PROCESSING;

AUDITORY MODELING; AUDITORY SNCHRONY; AUDITORY-NERVE FIBERS; CONVENTIONAL PROCESSING; PERIPHERAL AUDITORY SYSTEMS; ROBUST AUTOMATIC SPEECH RECOGNITION; ROBUST SPEECH RECOGNITION; STRUCTURE AND PERFORMANCE;

SPEECH RECOGNITION;

EID: 44949145470     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. O. Ghitza, "Auditory models and human performance in tasks related to speech coding and speech recognition," IEEE Trans. Speech and Audio Proc., vol. 2, pp. 52-59, 1986.
2. R. F. Lyon, "A computational model of filtering, detection and compression in the cochlea," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Paris, May 1982, pp. 1282-1285.
3. S. Seneff, "A joint synchrony/mean-rate model of auditory speech processing," J. Phonetics, vol. 15, pp. 55-76, 1988.
4. H. Meng and V. W. Zue, "A comparative study of acoustic representations of speech for vowel classification using multi-layer perceptions," in Proceedings of the International Conference of Spoken Language Processing, 1990.
5. Y. Ohshima and R. M. Stern, "Environmental robustness in automatic speech recognition using physiologicallymotivated signal processing," in Proceedings of the International Conference of Spoken Language Processing, 1994.
6. M. B. Sachs and E. D. Young, "Encoding of steady-state vowels in the auditory nerve: representation in terms of discharge rate," J. Acoust. Soc. Amer., vol. 66, pp. 470-479, 1979.
7. E. D. Young and M. B. Sachs, "Representation of steady-state vowels in the temporal aspects of the discharge patterns of populations of auditory-nerve fibers," J. Acoust. Soc. Amer., vol. 66, pp. 1381-1403, 1979.
8. P. Cosi, "Auditory modeling for speech analysis and recognition," in Visual Representation of Speech Signals, M. Cooke, S. Beet, and M. Crawford, Eds., 1992, pp. 205-212.
9. A. M. A. Ali, J. Van Der Spiegel, and P. Mueller, "Robust auditory-based speech processing using the average localized synchrony detection," IEEE Transactions on Speech and Audio Processing, vol. 10, pp. 279-292, 2002.
10. D.-S. Kim, S.-Y Lee, and R. M. Kil, "Auditory processing of speech signals for robust speech recognition in real-world noisy environments," IEEE Transactions on Speech and Audio Processing, vol. 7, pp. 55-69, 1999.
11. M. Ghulam, J. Horikawa, and T. Nitta, "A pitch-synchronous peak-amplitude based feature extraction method for robust asr," Proc. Int. Conf. Spoken Lang. Processing, vol. I, pp. 517-520, 2005.
12. X. Zhang, M. G. Heinz, I. C. Bruce, and L. H. Carney, "A phenomenologial model for the response of auditory-nerve fibers: I. nonlinear tuning with compression and suppresion," J. Acoust. Soc. Amer., vol. 109, pp. 648-670, 2001.
13. B. Raj, V. N. Parikh, and R. M. Stern, "The effects of background music on speech recognition accuracy," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 1997, vol. 2, pp. 851-854.