Blind Audio-Visual Source Separation based on Sparse Redundant Representations

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We present an extensive evaluation of a wide variety of promising design patterns for automated deep-learning (AutoDL) methods, organized according to the problem categories of the 2019 AutoDL challenges, which set the task of optimizing both model accurac ...

Blind Audio-Visual Source Separation based on Sparse Redundant Representations

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Radical Intangibles: Materializing the Ephemeral

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Multi-task Neural Network for Robust Multiple Speaker Embedding Extraction

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