Title :
Speech enhancement based on a hybrid a priori signal-to-noise ratio (SNR) estimator and a self-adaptive Lagrange multiplier
Author :
Alam, Md Jahangir ; Selouani, Sid-Ahmed ; O´Shaughnessy, Douglas
Author_Institution :
INRS-Energie-Mater.-Telecommun., Univ. du Quebec, Montréal, QC, Canada
Abstract :
Speech enhancement techniques, using spectral subtraction, have the drawback of generating an annoying residual noise with musical character. An accurate estimate of the a priori SNR is critical for eliminating musical noise. In this paper, for an accurate estimate of the a priori SNR we have proposed a hybrid a priori SNR estimator and a self-adaptive Lagrange multiplier with Wiener denoising technique. Objective evaluations showed that the proposed method performed better than the Decision-Directed (DD) approach.
Keywords :
Wiener filters; estimation theory; signal denoising; speech enhancement; SNR estimator; Wiener denoising; hybrid a priori signal-to-noise ratio; musical character; residual noise; self-adaptive Lagrange multiplier; spectral subtraction; speech enhancement; Estimation; Noise measurement; Signal to noise ratio; Speech; Speech enhancement; Wiener filter; a priori SNR; decision directed; hybrid; speech enhancement;
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne