A comparative intelligibility study of speech enhancement algorithms

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

Volumn 4, Issue , 2007, Pages

  Hu, Yi ^a   Loizou, Philipos C ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

Speech enhancement; Speech intelligibility; Speech quality; Subjective listening test

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; SPEECH INTELLIGIBILITY; STATISTICAL METHODS;

SPEECH QUALITY; SUBJECTIVE LISTENING TESTS; WIENER-TYPE ALGORITHMS;

SPEECH ENHANCEMENT;

EID: 34547553706     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366974     Document Type: Conference Paper

References (18)

1. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoustics, Speech and Signal Processing, vol. ASSP-27, pp. 113-120, 1979.
2. J. S. Lim, "Evaluation of a correlation subtraction method for enhancing speech degraded by additive white noise," IEEE Trans. Acoust., Speech, Signal Proc., vol. 26, pp. 471-472, 1978.
3. D. E. Tsoukalas, J. N. Mourjopoulos, and G. Kokkinakis, "Speech enhancement based on audible noise suppression," IEEE Trans. Speech Audio Proc., vol. 5, pp. 479-514, Nov. 1997.
4. K. H. Arehart, J. H.L. Hansen, S. Gallant, and L. Kalstein, "Evaluation of an auditory masked threshold noise suppression algorithm in normal-hearing and hearing-impaired listeners," Speech Communication, pp. 575-592, 2003.
5. Y. Hu and P. C. Loizou, "Subjective comparison of speech enhancement algorithms," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 2006, pp. 153-156.
6. IEEE Subcommittee, "IEEE recommended practice for speech quality measurements," IEEE Trans. Audio and Electroacoustics, pp. 225-246, 1969.
7. ITU-T P.862, Perceptual evaluation of speech quality (PESQ), and objective method for end-to-end speech quality assessment of narrowband telephone networks and speech codecs, ITU-T Recommendation P.862, 2000.
8. H. Hirsch and D. Pearce, "The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions.," in ISCA ITRWASR2000, Sept. 2000, Paris, France.
9. Y. Hu and P. C. Loizou, "A generalized subspace approach for enhancing speech corrupted by colored noise," IEEE Trans. Speech Audio Proc., pp. 334-341, July 2003.
10. F. Jabloun and B. Champagne, "Incorporating the human hearing properties in the signal subspace approach for speech enhancement," IEEE Trans. Speech Audio Proc., vol. 11, pp. 700-708, 2003.
11. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error log-spectral amplitude estimator," IEEE Trans. Acoustics, Speech and Signal Processing, vol. ASSP-33, pp. 443-445, 1985.
12. I. Cohen and B. Berdugo, "Noise estimation by minima controlled recursive averaging for robust speech enhancement," IEEE Signal Processing Letters, vol. 9, pp. 12-15, Jan. 2002.
13. H. Gustafsson, S. Nordholm, and I. Claesson, "Spectral subtraction using reduced delay convolution and adaptive averaging," IEEE Trans. Speech Audio Proc., pp. 799-807, 2001.
14. S. Kamath and P. C. Loizou, "A multi-band spectral subtraction method for enhancing speech corrupted by colored noise," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 2002.
15. Y. Hu and P. C. Loizou, "Speech enhancement based on wavelet thresholding the multitaper spectrum," IEEE Trans. Speech Audio Proc., pp. 59-67, Jan. 2004.
16. P. Scalart and J. Filho, "Speech enhancement based on a priori signal to noise estimation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1996, pp. 629-632.
17. P. C. Loizou, Speech Enhancement: Theory and Practice, CRC Press, 2007.
18. P. C. Loizou, A. Lobo, and Y. Hu, "Subspace algorithms for noise reduction in cochlear implants," The Journal of the Acoustical Society of America, pp. 2791-2793, 2005.