A comparison of soft and hard spectral subtraction for speaker verification

8th International Conference on Spoken Language Processing, ICSLP 2004

Volumn , Issue , 2004, Pages 1773-1776

  Padilla, Michael ^a   Quatieri, Thomas F ^b  

^a STANFORD UNIVERSITY   (United States)

^b MIT LINCOLN LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE NOISE; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); SIGNAL TO NOISE RATIO; WHITE NOISE;

ADDITIVE WHITE GAUSSIAN NOISE; GAUSSIAN MIXTURE MODEL; PERFORMANCE DEGRADATION; RELATIVE PERFORMANCE; SPEAKER RECOGNITION; SPEAKER VERIFICATION; SPECTRAL SUBTRACTION METHODS; SPECTRAL SUBTRACTIONS;

SPEECH RECOGNITION;

EID: 85009105911     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. J. Ortega-Garcia and J. Gonzalez-Rodriguez, Overview of Speech Enhancement Techniques for Automatic Speaker Recognition, Proc. ICSLP, Oct. 1996
2. A. Drygajlo and M. El-Maliki, Use of Generalized Spectral Subtraction and Missing Feature Compensation for Robust Speaker Verification, RLA2C, April 1998.
3. M. Padilla, Applications of Missing Feature Theory to Speaker Recognition, S.M. Thesis, MIT, 2000
4. D.A. Reynolds, Automatic Speaker Recognition Using Gaussian Mixture Speaker Models, The Lincoln Laboratory Journal, Vol. 8-2, pages 173-192, 1995.
5. T.F. Quatieri, Principles of Discrete-Time Speech Processing, Prentice Hall, 2000.