Speech enhancement using MMSE short time spectral estimation with Gamma distributed speech priors

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

Volumn 1, Issue , 2002, Pages

  Martin, Rainer ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE FOURIER TRANSFORMS; GAUSSIAN NOISE (ELECTRONIC); LAPLACE TRANSFORMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; OPTIMIZATION; RANDOM PROCESSES; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; TIME DOMAIN ANALYSIS;

GAMMA DISTRIBUTED SPEECH; GAUSSIAN DENSITY; LAPLACIAN DENSITY; MINIMUM MEAN SQUARE ERROR; NOISE MODEL; SHORT TIME SPECTRAL ESTIMATION; SPEECH ENHANCEMENT; WIENER AMPLITUDE ESTIMATORS;

SPEECH ANALYSIS;

EID: 0036296949     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5743702     Document Type: Conference Paper

References (9)

1. Suppression of acoustic noise in speech using spectral subtraction
2. Speech enhancement using a soft-decision noise suppression filter
3. Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator
4. Optimal estimators for spectral restoration of noisy speech
5. Description and generation of spherically invariant speech-model signals
6. Spectral subtraction based on minimum statistics
7. Noise power spectral density estimation based on optimal smoothing and minimum statistics