Essays about: "Generalized side lobe canceller"

Found 3 essays containing the words Generalized side lobe canceller.

  1. 1. Adaptive Sub band GSC Beam forming using Linear Microphone-Array for Noise Reduction/Speech Enhancement.

    University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Author : Mamun Ahmed; [2012]
    Keywords : Generalized Side lobe Canceller GSC ; Blocking matrix; Microphone array; Sub band; SNR. ;

    Abstract : This project presents the description, design and the implementation of a 4-channel microphone array that is an adaptive sub-band generalized side lobe canceller (GSC) beam former uses for video conferencing, hands-free telephony etc, in a noisy environment for speech enhancement as well as noise suppression. The side lobe canceller evaluated with both Least Mean Square (LMS) and Normalized Least Mean Square (NLMS) adaptation. READ MORE

  3. 2. Adaptive Speech enhancement system using Linear Microphone-array for noise Reduction

    University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Author : Jeevan Reddy Yarragudi; [2012]
    Keywords : Speech enhancement; Beam former; Generalized side lobe canceler; LMS algorithm ;

    Abstract : A major part of the interaction between humans takes place via speech communication. It is very difficult to understand speech signals in presence of background noise for the normal listeners and hearing impaired persons. The human speech and hearing organ is inherently sensitive to interfering noise. READ MORE

  4. 3. MICROPHONE ARRAY SYSTEM FOR SPEECH ENHANCEMENT IN LAPTOPS

    University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Author : NAVEEN KUMAR THUPALLI; [2012]
    Keywords : Wiener Beamformer; Speech Enhancement; Generalized side lobe canceller ;

    Abstract : Recognition of speech at the receiver end generally gets degraded in distant talking atmospheres of laptops, teleconfereing, video conferences and in hands free telephony, where the quality of speech gets contaminated and severely disturbed because of the additive noises. To make useful and effective, the exact speech signals has to be extracted from the noise signals and the user has to be given the clean speech. READ MORE