Speech presence detection in the time-frequency domain using minimum statistics

Report - Helsinki University of Technology, Signal Processing Laboratory

Volumn 46, Issue , 2004, Pages 340-343

  Sørensen, Karsten Vandborg ^a   Andersen, Søren Vang ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; ATTENUATION; DETECTORS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; FREQUENCY DOMAIN ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; TIME DOMAIN ANALYSIS;

DETECTOR PERFORMANCE; SIGNAL MODEL; SIGNAL-PLUS-NOISE PERIODOGRAMS; WEIGHTED DECOMPOSITION;

SPEECH RECOGNITION;

EID: 11844291956     PISSN: 14586401     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Rainer Martin, "Noise Power Spectral Density Estimation Based on Optimal Smoothing and Minimum Statistics," IEEE Transactions on Speech and Audio Processing, vol. 9(5), pp. 504-512, July 2001.
2. Y. Ephraim and D. Malah, "Speech Enhancement Using a Minimum Mean-Square Error Log-Spectral Amplitude Estimator," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33(2), pp. 443-445, Apr. 1985.
3. Israel Cohen, "Optimal Speech Enhancement Under Signal Presence Uncertainty Using Log-Spectral Amplitude Estimator," IEEE Signal Processing Letters, vol. 9(4), pp. 113-116, Apr. 2002.
4. Simon Haykin, Adaptive Filter Theory, Prentice-Hall, 1996.
5. Jacek M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1992.
6. National Institute of Standards and Technology (MIST), Gaithersburg, MD 20899, USA, CD-ROM, DARPA TIMIT Acoustic-Phonetic Speech Database.