Bounded conditional mean imputation with Gaussian mixture models: A reconstruction approach to partly occluded features

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

Volumn , Issue , 2009, Pages 3869-3872

  Faubel, Friedrich ^a   McDonough, John ^a   Klakow, Dietrich ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

Gaussian distributions; Mean square error methods; Signal reconstruction; Speech enhancement; Speech recognition

Indexed keywords

APPROXIMATE SOLUTION; AUTOMATIC SPEECH RECOGNITION; BOUNDED APPROACH; CONDITIONAL MEANS; EXPERIMENTAL SECTION; GAUSSIAN MIXTURE MODEL; MEAN SQUARE ERROR METHODS; NOISY OBSERVATIONS; SPEECH SPECTRA; UPPER BOUND;

ACOUSTICS; BLOCK CODES; GAUSSIAN DISTRIBUTION; MEAN SQUARE ERROR; REPAIR; SIGNAL ANALYSIS; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION; SPEECH ENHANCEMENT;

SPEECH RECOGNITION;

EID: 70349226857     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960472     Document Type: Conference Paper

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