Normalizing the speech modulation spectrum for robust speech recognition

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

Volumn 4, Issue , 2007, Pages

  Xiao, Xiong ^a,b   Chng, Eng Siong ^a   Li, Haizhou ^a,b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Feature normalization; Modulation spectrum; Speech recognition; Square root Wiener filter; Temporal filter

Indexed keywords

ACOUSTIC SURFACE WAVE FILTERS; ACOUSTIC WAVE INTERFERENCE; FEATURE EXTRACTION; FREQUENCY MODULATION; ROBUST CONTROL; SPEECH ANALYSIS;

FEATURE NORMALIZATION; MEAN AND VARIANCE NORMALIZATION TECHNIQUE (MVN); MODULATION SPECTRUM; SQUARE-ROOT WIENER FILTERS; TEMPORAL FILTERS;

SPEECH RECOGNITION;

EID: 34547547285     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.367246     Document Type: Conference Paper

References (10)

1. S. Furui, "Cepstral analysis technique for automatic speaker verification", IEEE Trans. Acoust., Speech, Signal Process, vol. 29, no. 2, pp. 254-272, 1981
2. O. Viikki, D. Bye, and K. Laurila, "A recursive feature vector normalization approach for robust speech recognition in noise", In Proc IEEE Int. Conf. Acoustics, Speech, Signal Processing, 1998, vol. 11, pp. 733-736
3. A. de la Torre, A. M. Peinado, J. C. Segura, J. L. Perez-Cordoba, M. C. Benitez and A. J. Rubio, "Histogram equalization of speech representation for robust Speech Recognition", IEEE Trans. Speech Audio Process., vol. 13, no. 3, pp. 355-366, 2005
4. H. Hermansky and N. Morgan, "RASTA processing of speech", IEEE Trans. Speech, Audio Proceess., vol. 2, no. 4, pp. 578-589, 1994
5. N. Kanedera, T. Arai, H. Hermansky, and M. Pavel "On the relative importance of various components of the modulation spectrum for automatic speech recognition", Speech Communication, vol. 28, No. 1, pp. 43-55, 1999
6. J.-W. Hung and L.-S. Lee, "Optimization of temporal filters for constructing robust features in speech recognition", IEEE Trans. Audio, Speech, Language Process., vol. 14, no 3, pp. 808-832, May 2006
7. C.-P. Chen, J. Blimes and K. Kirchhoff, "Low-resource noise-robust feature post-processing on AURORA 2.0", In Proc. ICSLP 2002, pp. 2445-2448
8. S. V. Vaseghi, "Advanced digital signal processing and noise reduction", 2nd Edition, John Wiley & Sons, LTD, 2000
9. J. G. Proakis and D. G. Manolakis, "Digital signal processing-principles, algorithms, and applications", 3rd Edition, Prentice-Hall, 1996
10. D. Pearce and H.-G. Hirsch, "The AURORA experimental framework for the performance evaluation of speech recogntion systems under noisy conditions", In Proc ICSLP 2000, pp. 29-32