Title :
Convolutive Transfer Function Generalized Sidelobe Canceler
Author :
Talmon, Ronen ; Cohen, Israel ; Gannot, Sharon
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
Abstract :
In this paper, we propose a convolutive transfer function generalized sidelobe canceler (CTF-GSC), which is an adaptive beamformer designed for multichannel speech enhancement in reverberant environments. Using a complete system representation in the short-time Fourier transform (STFT) domain, we formulate a constrained minimization problem of total output noise power subject to the constraint that the signal component of the output is the desired signal, up to some prespecified filter. Then, we employ the general sidelobe canceler (GSC) structure to transform the problem into an equivalent unconstrained form by decoupling the constraint and the minimization. The CTF-GSC is obtained by applying a convolutive transfer function (CTF) approximation on the GSC scheme, which is a more accurate and a less restrictive than a multiplicative transfer function (MTF) approximation. Experimental results demonstrate that the proposed beamformer outperforms the transfer function GSC (TF-GSC) in reverberant environments and achieves both improved noise reduction and reduced speech distortion.
Keywords :
Fourier transforms; array signal processing; speech enhancement; transfer functions; adaptive beamformer; convolutive transfer function; multiplicative transfer function; noise reduction; short-time Fourier transform; sidelobe canceler; speech distortion; speech enhancement; Array signal processing; Distortion; Fourier transforms; Microphone arrays; Noise cancellation; Noise reduction; Sensor arrays; Speech enhancement; Transfer functions; Working environment noise; Adaptive signal processing; array signal processing; beamforming; generalized sidelobe canceler (GSC); linearly constrained minimum variance (LCMV); microphone arrays; minimum variance distortionless response (MVDR); noise reduction; speech enhancement;
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
DOI :
10.1109/TASL.2009.2020891