IEEE ICASSP 2020 Virtual Conference May 2020

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  • Coded Illumination And Multiplexing For Lensless Imaging

    00:09:13
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    Mask-based lensless cameras offer an alternative option to conventional cameras. Compared to conventional cameras, lensless cameras can be extremely thin, flexible, and light-weight. Despite these advantages, the quality of images recovered from the lensl
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This paper investigates a self-adaptation method for speech enhancement using auxiliary speaker-aware features; we extract a speaker representation used for adaptation directly from the test utterance. Conventional studies of deep neural network (DNN)--ba
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  • Vggsound: A Large-Scale Audio-Visual Dataset

    00:13:05
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    Our goal is to collect a large-scale audio-visual dataset with low label noise from videos `in the wild' using computer vision techniques. The resulting dataset can be used for training and evaluating audio recognition models. We make three contributions.
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We introduce a data-driven approach to automatic pitch correction of solo singing performances. The proposed approach predicts note-wise pitch shifts from the relationship between the respective spectrograms of the singing and accompaniment. This approach
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  • Robust Matrix Completion Via Lp-Greedy Pursuits

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    A novel $ell_p$-greedy pursuit (GP) algorithm for robust matrix completion, i.e., recovering a low-rank matrix from only a subset of its noisy and outlier-contaminated entries, is devised. The $ell_p$-GP uses the strategy of sequential rank-one update.
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  • Decoding 5G-Nr Communications Via Deep Learning

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    Upcoming modern communications are based on 5G specifications and aim at providing solutions for novel vertical industries. One of the major changes of the physical layer is the use of Low-Density Parity-Check (LDPC) code for channel coding. Although LDPC
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  • A Low-Complexity Map Detector For Distributed Networks

    00:14:50
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    This work describes a generalization of our previous maximum likelihood (ML) detector to a maximum a posteriori (MAP) detector in distributed networks using the diffusion LMS algorithm. Nodes in the network must decide between two concurrent hypotheses co
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