An efficient GSC VSS-APA beamformer with integrated log-energy based VAD for noise reduction in speech reinforcement systems

This paper presents an efficient time-domain Generalized Sidelobe Canceller (GSC) with low signal distortion capabilities using the variable step size affine projection algorithm (VSS-APA) and a log-energy based voice activity detector (VAD). The performance of the proposed VSS-APA based GSC method with integrated log-energy VAD, is illustrated in the context of speech reinforcement application using different signals with low signal-to-noise ratio and different types of noise.