Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement

While machine learning techniques are traditionally resource intensive, we are currently witnessing an increased interest in hardware and energy efficient approaches. This need for resource-efficient machine learning is primarily driven by the demand for embedded systems and their usage in ubiquitou...

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Bibliographic Details
Published inarXiv.org
Main Authors Pfeifenberger, Lukas, Zöhrer, Matthias, Schindler, Günther, Roth, Wolfgang, Fröning, Holger, Pernkopf, Franz
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 22.07.2020
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