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My ICASSP 2020 Schedule

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Paper Detail

Paper IDWE2.I.8
Paper Title CLCNET: DEEP LEARNING-BASED NOISE REDUCTION FOR HEARING AIDS USING COMPLEX LINEAR CODING
Authors Hendrik Schröter, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany; Tobias Rosenkranz, Alberto Nicolas Escalante Banuelos, Sivantos GmbH, Germany; Marc Aubreville, Andreas Maier, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
SessionWE2.I: Speech Enhancement III: Hearing Aids and other Applications
LocationOn-Demand
Session Time:Wednesday, 06 May, 11:30 - 13:30
Presentation Time:Wednesday, 06 May, 11:30 - 13:30
Presentation Poster
Topic Speech Processing: [SPE-ENHA] Speech Enhancement and Separation
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