10 research outputs found

    A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks with Arbitrary Topology

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    We propose a new robust distributed linearly constrained beamformer which utilizes a set of linear equality constraints to reduce the cross power spectral density matrix to a block-diagonal form. The proposed beamformer has a convenient objective function for use in arbitrary distributed network topologies while having identical performance to a centralized implementation. Moreover, the new optimization problem is robust to relative acoustic transfer function (RATF) estimation errors and to target activity detection (TAD) errors. Two variants of the proposed beamformer are presented and evaluated in the context of multi-microphone speech enhancement in a wireless acoustic sensor network, and are compared with other state-of-the-art distributed beamformers in terms of communication costs and robustness to RATF estimation errors and TAD errors

    A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem

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    Compressive sensing in footstep sounds, hand tremors and speech using K-SVD dictionaries

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    The application of Compressive Sensing is explored in three signal categories; footstep sounds, hand tremors and speech. An investigation of the reconstruction performance of various dictionaries is undertaken. It is demonstrated that these signal categories are reconstructed with higher SNR performance using K-SVD dictionaries than other fixed dictionaries. In particular, for footstep sounds and hand tremors, the K-SVD dictionaries outperform the fixed dictionaries; Discrete Cosine Transform (DCT), Wavelet Symlet with order 8 Transform and the union of DCT and Discrete Sine Transform. Moreover, in speech reconstruction, the use of a codebook of K-SVD dictionaries instead of a codebook of impulse response matrices improves performance.</p

    Improved multi-microphone noise reduction preserving binaural cues

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    A Novel Binaural Beamforming Scheme with Low Complexity Minimizing Binaural-Cue Distortions

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    Evaluation of Binaural Noise Reduction Methods in Terms of Intelligibility and Perceived Localization

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    Distributed Rate-Constrained LCMV Beamforming

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    Binaural Beamforming Using Pre-Determined Relative Acoustic Transfer Functions

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    Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 201

    Binaural Speech Enhancement with Spatial Cue Preservation Utilising Simultaneous Masking

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    Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 201
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