Noise estimation using speech/non-speech frame decision and subband spectral tracking

Speech Communication

Volumn 49, Issue 7-8, 2007, Pages 542-557

  Lin, Zhong ^a   Goubran, Rafik A ^a   Dansereau, Richard M ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

Non stationary noise estimation; Pitch estimation; Speech enhancement; Voice activity detection

Indexed keywords

MEAN SQUARE ERROR; POWER SPECTRUM; SIGNAL TO NOISE RATIO; SPEECH COMMUNICATION; SPEECH PROCESSING;

MEAN OPINION SCORE; NOISE ESTIMATION; PITCH PROPERTIES; SUBBAND SPECTRAL TRACKING; TRACKS BURSTS;

ACOUSTIC NOISE;

EID: 34447101009     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2006.10.002     Document Type: Article

References (30)

1. Beritelli F., Casale S., and Cavallaro A. A robust voice activity detector for wireless communications using soft computing. IEEE J. Selected Areas Commun. 16 9 (1998) 1818-1829
2. Cohen I. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging. IEEE Trans. Speech Audio Process. 11 5 (2003) 466-475
3. Cohen I., and Berdugo B. Speech enhancement for non-stationary noise environments. Signal Process. 81 (2001) 2403-2418
4. Cohen I., and Berdugo B. Noise estimation by minima controlled recursive averaging for robust speech enhancement. IEEE Signal Process. Lett. 9 1 (2002) 12-15
5. Doblinger G. Computationally efficient speech enhancement by spectral minima tracking in subbands. Proc. Eurospeech 2 (1995) 1513-1516
6. Ephraim Y., and Malah D. Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process., ASSP 32 6 (1984) 1109-1121
7. Ephraim Y., and Malah D. Speech enhancement using a minimum mean-square error log-spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process. 33 2 (1985) 443-445
8. Garofolo J.S. Getting started with the DARPA TIMIT CD-ROM: An acoustic phonetic continuous speech database (1988), Nat. Inst. Stand. Technol. (NIST), Gaithersburg, MD
9. Gazor S., and Zhang W. A soft voice activity detector based on a Laplacian-Gaussian model. IEEE Trans. Speech Audio Process. 11 5 (2003) 498-505
10. Hermes D.J. Measurement of pitch by subharmonic summation. J. Acoust. Soc. Amer. 83 (1988) 257-264
11. Hirsch H.G., and Ehrlicher C. Noise estimation techniques for robust speech recognition. Proc. IEEE Internat. Conf. Audio, Speech Signal Process. 12 1 (1995) 59-67
12. Hu Y., and Loizou P.C. Subjective comparison of speech enhancement algorithms. Proc. IEEE Internat. Conf. Audio, Speech Signal Process. 1 (2006) 153-156
13. ITU-T P.800, Series P, 1996. Telephone transmission quality methods for objective and subjective assessment of quality - Methods for subjective determination of transmission quality.
14. Lin Z., and Goubran R. Musical noise reduction in speech using two-dimensional spectrogram enhancement. Proc. 2nd IEEE Internat. Workshop on Haptic, Audio and Visual Environments and their Applications. (2003) 61-64
15. Lin Z., and Goubran R. Instant noise estimation using Fourier transform of AMDF and variable start minima search. Proc. Internat. Conf. Acoust. Speech Signal Process. 1 (2005) 161-164
16. Lionel Allorge, 2004. Available from: . Lune Rouge Sounds Database.
17. Lynch J.F., Josenhans J.G., and Crochiere R.E. Speech/silence segmentation for real-time coding via rule based adaptive endpoint detection. Proc. IEEE Internat. Conf. Audio, Speech Signal Process. 12 (1987) 1348-1351
18. Martin R. Spectral subtraction based on minimum statistics. Proc. Euro. Signal Process. (1994) 1182-1185
19. Martin R. Noise power spectral density estimation based on optimal smoothing and minimum statistics. IEEE Trans. Speech Audio Process. 9 5 (2001) 504-512
20. Nemer E., Goubran R.A., and Mahmoud S.A. Robust pitch estimation and voicing detection using higher-order statistics in the LPC domain. IEEE Trans. Speech Audio Process. 9 3 (2001) 217-231
21. O'Shaughnessy D. Speech Communications-Human and Machine (2000), IEEE Press
22. Quackenbush S., Barnwell T., and Clements M. Objective measures of speech quality (1988), Prentice-Hall
23. Rangachari S., and Loizou P.C. A noise-estimation algorithm for highly non-stationary environments. Speech Commun. 48 (2006) 220-231
24. Rangachari S., Loizou P.C., and Hu Y. A noise estimation algorithm with rapid adaptation for highly non-stationary environments. Proc. IEEE Internat. Conf. Acoust. Speech Signal Process. I (2004) 305-308
25. Seneff S. Real-time harmonic pitch detector. IEEE Trans. Acoust. Speech Signal Process. ASSP 26 4 (1978) 358-365
26. Sohn J., Kim N.S., and Sung W. A statistical model-based voice activity detection. IEEE Signal Process. Lett. 6 1 (1999) 1-3
27. Stahl V., Fischer A., and Bippus R. Quantile based noise estimation for spectral subtraction and wiener filtering. Proc. Internat. Conf. Acoust. Speech Signal Process. 3 (2000) 1875-1878
28. Tanyer S.G., and Ozer H. Voice activity detection in nonstationary Noise. IEEE Trans. Speech Audio Process. 8 4 (2000) 478-482
29. Varga, A., Steenneken, H.J.M, Tomlinson, M., Jones, D., 1992. The Noisex-92 study on the effect of additive noise on automatic speech recognition. Documentation included in the NOISEX-92 CD-ROMs.
30. Virag N. Single channel speech enhancement based on masking properties of the human auditory system. IEEE Trans. Speech Audio Process. 7 2 (1999) 126-137