Robust features for noisy speech recognition based on temporal trajectory filtering of short-time autocorrelation sequences

Speech Communication

Volumn 28, Issue 1, 1999, Pages 13-24

  Yuo, Kuo Hwei ^a   Wang, Hsiao Chuan ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION THEORY; WHITE NOISE;

RELATIVE AUTOCORRELATION PROCESSES;

SPEECH RECOGNITION;

EID: 0032623471     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(99)00004-7     Document Type: Article

References (19)

1. Acero, A., Stern, R.M., 1991. Robust speech recognition by normalization of the acoustic space. In: Proceedings of IEEE International Conference of Acoust., Speech, Signal Process '91, pp. 893-896.
2. Avendano, C., Hermansky, H., 1996. Study on the dereverberation of speech based on temporal envelope filtering. In: Proc. ICSLP'96, Vol. 2, pp. 889-892.
3. Boll S.F. Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust., Speech, Signal Processing. 27:1979;113-120.
4. Carlson, A., Clements, M.A., 1994. A projection-based likelihood measure for speech recognition in noise. IEEE Trans. Acoust., Speech, Signal Processing 2 (1) part 1, 97-102.
5. Furui, S., 1986. Speaker-independent isolated word recognition based on emphasized spectral dynamics. In: Proceedings of the IEEE International Conference of Acoust., Speech, Signal Process.'86, Tokyo, April 1986, pp. 1991-1994.
6. Gales, M.J.F., Young, S.J., 1995. Robust speech recognition in additive and convolutional noise using parallel model combination. Computer Speech and Language, 289-307.
7. Hanson, B.A., Applebaum, T.H., 1993. Subband or cepstral domain filtering for recognition of Lombard and channel-distorted speech. In: Proc. IEEE Internat. Conf. Acoust., Speech, Signal Process.'93, Vol. 2, pp. 79-82.
8. Hermansky H., Morgan N. RASTA processing of speech. IEEE Trans. Speech Audio Processing. 2:1994;578-589.
9. Hernando J., Nadeu C. Linear prediction of the one-sided autocorrelation sequence for noisy speech recognition. IEEE Trans. Speech Audio Processing. 5(1):1997;80-84.
10. Hernando, J., Nadeu, C., Villagrasa, C., Monte, E., 1994. Speaker identification in noisy conditions using linear prediction of the one-sided autocorrelation sequence. In: Proc. ICSLP'94, Vol. 4, pp. 1847-1850.
11. Hirsch, H.G., Meyer, P., Ruchl, H., 1991. Improved speech recognition using high-pass filtering of subband envelopes. In: Proceedings of EUROSPEECH91, Genova, pp. 413-416.
12. Lockwood P., Boudy J. Experiments with a Nonlinear Spectral Subtractor (NSS), Hidden Markov Models and the projection, for robust speech recognition in cars. Speech Communication. 11:1992;215-228.
13. Mansour D., Juang B.H. The short-time modified coherence representation and noisy speech recognition. IEEE Trans. Acoust., Speech, Signal Processing. 37(6):1989;795-804.
14. Mansour D., Juang B.H. A family of distortion measures based upon projection operation for robust speech recognition. IEEE Trans. Acoust., Speech, Signal Processing. 37(11):1989;1659-1671.
15. Nadeu, C., Juang, B.H., 1994. Filtering of spectral parameters for speech recognition. In: Proc. ICSLP'94, Vol. 4, pp. 1927-1930.
16. Nadeu C., Pachès-Leal P., Juang B.-H. Filtering the time sequences of spectral parameters for speech recognition. Speech Communication. 22(4):1997;315-332.
17. Oppenheim, A.V., Schafer, R.W., 1989. Discrete-Time Signal Processing. Prentice Hall, Englewood Cliffs, NJ.
18. Rahim M.G., Juang B.H. Signal bias removal by maximum likelihood estimation for robust telephone speech recognition. IEEE Trans. Acoust., Speech, Signal Processing. 4(1):1996;19-30.
19. Vaseghi S.V., Milner B.P. Noise compensation methods for hidden Markov model speech recognition in adverse environments. IEEE Trans. Speech Audio Processing. 5(1):1997;11-21.