Minimum subspace noise tracking for noise power spectral density estimation

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

Volumn , Issue , 2009, Pages 29-32

  Triki, Mahdi ^a   Janse, Kees ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Noise floor estimation; Non stationary noise; Single microphone speech enhancement; Subspace methods

Indexed keywords

ACOUSTIC NOISE; FLOORS; POWER SPECTRAL DENSITY; SPECTRAL DENSITY; SPEECH COMMUNICATION; SPEECH ENHANCEMENT; STATISTICS;

DISTORTION MEASURES; EXPERIMENTAL INVESTIGATIONS; MICROPHONE SPEECH; NOISE FLOOR ESTIMATIONS; NOISE POWER SPECTRAL DENSITY; NONSTATIONARY NOISE; SUB-SPACE METHODS; TRACKING PERFORMANCE;

AUDIO SIGNAL PROCESSING;

EID: 70349471193     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2009.4959512     Document Type: Conference Paper

References (6)

1. S.G. Tanyer, H. Ozer,"Voice Activity Detection in Nonstationary Noise," IEEE Trans. on Speech and Audio Processing, Jul. 2000.
2. R. Martin,"Spectral Subtraction Based on Minimum Stastistics," In Proc. of Eur. Signal Processing Conf., Sep. 1994.
3. R. Martin,"Noise Power Spectral Density Estimation Based on Optimal Smoothing and Minimum Statistics," IEEE Trans. on Speech and Audio Processing, Jul. 2001.
4. R. C. Hendriks, J. Jensen and R. Heusdens, "Noise Tracking using DFT Domain Subspace Decompositions," IEEE Trans. on Audio, Speech, and Language Processing, Mar. 2008.
5. R. C. Hendriks, J. Jensen and R. Heusdens, "DFT Domain Subspace Based Noise Tracking for Speech Enhancement," In Proc. of Interspeech, Aug. 2007.
6. Y. Hu and P. Loizou,"Subjective comparison of speech enhancement algorithms," In Proc of IEEE Int. Conf Conf. on Acoustics, Speech, and Signal Processing, May 2006. http://www.utdallas.edu/ loizou/speech/noizeus/