MMSE Log-Spectral Amplitude Estimation Under Speech Presence Uncertainty Using Generalized Γ Speech Priors
Conference: IWAENC 2012 - International Workshop on Acoustic Signal Enhancement
09/04/2012 - 09/06/2012 at Aachen, Germany
Proceedings: IWAENC 2012
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Fodor, Balázs; Fingscheidt, Tim (Institute for Communications Technology, Technische Universität Braunschweig, 38106 Braunschweig, Germany)
MMSE log-spectral amplitude (LSA) estimators offer convincing performance and are, therefore, widely spread in speech enhancement. In this paper an MMSE-LSA estimation under speech presence uncertainty (SPU) with a generalized γ speech prior representing a variety of speech priors is proposed. Employing a γ speech prior as a special case of the generalized approach, a numerical approximation is employed. Different to most state-of-the-art approaches, we choose the pdf assumptions of the mere spectral weighting rule and of the SPU estimation to be consistent. It is shown that the use of the SPU estimator with an underlying γ speech pdf yields more than a 3 dB gain in noise attenuation, with a slight advantage versus the Gaussian SPU estimator.