Towards fusion of feature extraction and acoustic model training: A top down process for robust speech recognition

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

Volumn , Issue , 2009, Pages 32-35

  Chiu, Yu Hsiang Bosco ^a   Raj, Bhiksha ^a   Stern, Richard M ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Auditory model; Automatic speech recognition; Data analysis; Discriminative training

Indexed keywords

A-POSTERIORI PROBABILITIES; ACOUSTIC MODEL; AUDITORY MODELS; AUTOMATIC SPEECH RECOGNITION; BACKGROUND NOISE; DATA ANALYSIS; DISCRIMINATIVE TRAINING; ENVIRONMENTAL NOISE; FEATURE COMPUTATION; FUSION OF FEATURES; HEARING SYSTEM; HUMAN AUDITORY SYSTEM; LOGISTIC FUNCTIONS; MODEL TRAINING; NON-LINEARITY; RESOURCE MANAGEMENT; ROBUST SPEECH RECOGNITION; TOP-DOWN PROCESS; TRAINING DATA;

AUDITION; DATA HANDLING; RESOURCE ALLOCATION; SPEECH COMMUNICATION; SPEECH RECOGNITION;

FEATURE EXTRACTION;

EID: 70450191552     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. S.B. Davis and P. Mermelstein, "Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences", IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-28, pp. 357-366, 1980.
2. H. Hermansky,"Perceptual linear predictive (plp) analysis of speech", J. Acoust. Soc. Am., vol. 87, pp. 1738-1752, 1990.
3. J.J. Guinan Jr, "Physiology of olivocochlear efferents",The Cochlea, vol. 8, pp. 435-502, Springer, NewYork, 1996.
4. A. Biem, S. Katagiri, E. McDermott and B.-H. Juang, "An Application of Discriminative Feature Extraction to Filter-Bank-Based Speech Recognition", IEEE Trans. Acoust., Speech, Signal Processing, vol. 9, no. 2, pp. 96-110, 2001.
5. T. Kinnunen, "Design a Speaker-Discriminative Adaptive Filter Bank for Speaker Recognition",Proc. ICSLP, Denver, Colorado, USA, September, 2002.
6. X. Li and R. Stern, "Pallel Feature Generation Based on Maximizing Normalized Acoustic Likelihood", Proc. ICSLP, Jeju Island, Korea, October 2004.
7. D. Povey, B. Kingsbury, L. Mangu, G. Saon, H. Soltau and G. Zweig, "fMPE: Discriminatively Trained Features for Speech Recognition", Proc. ICASSP, Philadelphia, USA, March 2005.
8. Y.-H. Chiu and R. Stern, "Analysis of Physiologically-Motivated Signal Processing for Robust Speech Recognition", Proc. ICSLP, Brisbane, Australia, September 2008.
9. M.C. Liberman, "Auditory nerve response from cats raised in a low noise chamber", J. Acoust. Soc. Am., vol. 63, pp. 442-455, 1978.
10. Y.-H. Chiu and R. Stern, "Minimum variance modulation filter for robust speech recognition", Proc. ICASSP, Taipei, Taiwan, April 2009.
11. E. Terhardt, "Calculating virtual pitch", Hearing Research, vol. 1, pp. 155-182, 1979.