Noise power estimation based on the probability of speech presence

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Volumn , Issue , 2011, Pages 145-148

  Gerkmann, Timo ^a   Hendriks, Richard C ^b  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Noise power estimation; noise reduction; speech enhancement

Indexed keywords

BIAS CORRECTION; HARD DECISIONS; MINIMUM MEAN-SQUARE ERROR; NOISE POWER; NOISE REDUCTIONS; NOISE TRACKING; NOISE-POWER ESTIMATION; POSTERIORI; POSTERIORI SNR; SIGNAL TO NOISE; SPECTRAL NOISE; VOICE ACTIVITY DETECTORS;

ACOUSTIC NOISE; AUDIO SIGNAL PROCESSING; ESTIMATION; SIGNAL TO NOISE RATIO; SPEECH ENHANCEMENT;

AUDIO ACOUSTICS;

EID: 83455170765     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2011.6082266     Document Type: Conference Paper

References (12)

1. R. C. Hendriks, R. Heusdens, and J. Jensen, "MMSE based noise PSD tracking with low complexity," IEEE ICASSP, pp. 4266-4269, Mar. 2010.
2. R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Speech Audio Process., vol. 9, no. 5, pp. 504-512, July 2001. (Pubitemid 32631178)
3. I. Cohen, "Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging,"IEEE Trans. Speech Audio Process., vol. 11, no. 5, pp. 466-475, Sept. 2003.
4. R. C. Hendriks, J. Jensen, and R. Heusdens, "Noise tracking using DFT domain subspace decompositions," IEEE Trans. Audio, Speech, Lang. Process, vol. 16, no. 3, pp. 541-553, March 2008.
5. R. Yu, "A low-complexity noise estimation algorithm based on smoothing of noise power estimation and estimation bias correction," in IEEE ICASSP, 2009, pp. 4421-4424.
6. J. Taghia, J. Taghia, N. Mohammadiha, J. Sang, V. Bouse, and R. Martin, "An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments," IEEE ICASSP, May 2011.
7. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator,"IEEE Trans. Acoust., Speech, Signal Process., vol. 32, no. 6, pp. 1109-1121, Dec. 1984.
8. I. Cohen and B. Berdugo, "Speech enhancement for nonstationary noise environments," ELSEVIER Signal Process, vol. 81, no. 11, pp. 2403-2418, Nov. 2001. (Pubitemid 32943465)
9. T. Gerkmann, C. Breithaupt, and R. Martin, "Improved a posteriori speech presence probability estimation based on a likelihood ratio with fixed priors," IEEE Trans. Audio, Speech, Lang. Process, vol. 16, no. 5, pp. 910-919, July 2008.
10. R. J. McAulay and M. L. Malpass, "Speech enhancement using a soft-decision noise suppression filter," IEEE Trans. Acoust., Speech, Signal Process., vol. 28, no. 2, pp. 137-145, Apr. 1980.
11. J. S. Garofolo, "DARPA TIMIT acoustic-phonetic speech database," National Institute of Standards and Technology (NIST), 1988.
12. R. C. Hendriks, J. Jensen, and R. Heusdens, "DFT domain subspace based noise tracking for speech enhancement," in Interspeech, August 2007, pp. 830-833.