Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Sumam David, S.Subject: search.filters.subject.Noise Reduction

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    Area and power optimised ASIC implementation of adaptive beamformer for hearing AIDS
    (Institute of Electrical and Electronics Engineers Inc., 2017) Samtani, K.; Thomas, J.; Deepu, S.P.; Sumam David, S.
    Beamforming is a technique used in hearing AIDS to improve the intelligibility of target sound by reducing the interference from other directions. An efficient ASIC implementation of a two omnidirectional microphone array based adaptive beamforming algorithm is presented in this paper with various optimisations proposed at different stages of the hardware design. The beamform patterns and improvements in SNR values obtained from experiments conducted in a conference room environment were analysed to verify the working of the design. The architecture was implemented with 0.18 μm standard cell libraries. Cell area and power reports were analysed for different optimisations. The final area and power obtained are 0.054 mm2 and 60.54 μW respectively. © 2017 IEEE.
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    Wavelet based Noise Reduction Techniques for Real Time Speech Enhancement
    (Institute of Electrical and Electronics Engineers Inc., 2018) Ravi, B.R.; Deepu, S.P.; Ramesh Kini, M.; Sumam David, S.
    Fixed noise suppression techniques are generally used for speech enhancement in different low power real time systems. In this paper, we propose a modified adaptive system for classification of speech signals and noise reduction based on multi-band techniques. It involves initial identification of incoming speech segments as clean speech, speech in noise or pure noise. For the noisy speech segments, background noise classification is carried out using different wavelet-based feature sets. Noise Reduction system consists of removal of adaptive stationary noise and non-stationary noise based on classified noise type. Simulation results show that the proposed system provides optimal noise reduction and better speech quality with reduced computational complexity in adverse noisy environments. © 2018 IEEE.