IEEE ICASSP 2020 Virtual Conference May 2020

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  • Convolutional Beamspace For Array Signal Processing

    00:13:37
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    A new type of beamspace for array processing is introduced called convolutional beamspace. It enjoys the advantages of traditional beamspace such as lower computational complexity, increased parallelism of subband processing, and improved resolution thres
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  • Neural Coding Strategies For Event-Based Vision Data

    00:14:42
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    Neural coding schemes are powerful tools used within neuroscience. This paper introduces three different neural coding scheme formations for event-based vision data which are designed to emulate the neural behaviour exhibited by neurons under stimuli. Pre
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  • Tracing Network Evolution Using The Parafac2 Model

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    Characterizing time-evolving networks is a challenging task, but it is crucial for understanding the dynamic behavior of complex systems such as the brain. For instance, how spatial networks of functional connectivity in the brain evolve during a task is
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  • Towards Fast And Accurate Streaming End-To-End Asr

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    End-to-end (E2E) models fold the acoustic, pronunciation and language models of a conventional speech recognition model into one neural network with a much smaller number of parameters than a conventional ASR system, thus making it suitable for on-device
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  • Static Visual Spatial Priors For Doa Estimation

    00:14:09
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    As we interact with the world, for example when we communicate with our colleagues in a large open space or meeting room, we continuously analyse the surrounding environment and, in particular, localise and recognise acoustic events. While we largely take