Extension of the signal subspace speech enhancement approach to colored noise

Extension of the signal subspace speech enhancement approach to colored noise

The signal subspace approach for speech enhancement is extended to colored-noise processes. Explicit forms for the linear time-domain- and spectral-domain-constrained estimators are presented. These estimators minimize the average signal distortion power for given constraints on the residual noise p...

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Veröffentlicht in:IEEE signal processing letters 2003-04, Vol.10 (4), p.104-106
Hauptverfasser: Lev-Ari, H., Ephraim, Y.
Format: Artikel
Sprache:eng
Schlagworte:
Colored noise
Covariance matrix
Distortion
Equations
Equivalence
Estimators
Karhunen-Loeve transforms
Noise
Signal design
Signal distortion
Signal processing
Spectra
Speech
Speech enhancement
Subspaces
Vectors
White noise
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Zusammenfassung:The signal subspace approach for speech enhancement is extended to colored-noise processes. Explicit forms for the linear time-domain- and spectral-domain-constrained estimators are presented. These estimators minimize the average signal distortion power for given constraints on the residual noise power in the time and spectral domains, respectively. Equivalent implementations of the two estimators using the whitening approach are described.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2003.808544