Dynamic Masking

Dynamic Masking is a computational auditory scene analysis framework that distinguishes itself by adaptively modulating interfering signals over time to simulate the time-varying nature of masking effects in human auditory stream segregation.

26

Publications

729

Citations

90

Authors

34

Institutions

Publications per year

2017–2026

8

Authors

90

  1. ME
    Mattan Erez

    The University of Texas at Austin, United States

    1 publications · 43 citations

    1

    h-index

  2. VA
    Vincent Aubanel

    Centre National de la Recherche Scientifique, France

    1 publications · 23 citations

    1

    h-index

  3. AD
    Alan D. A. Mattiassi

    University of Florence, Italy

    1 publications · 25 citations

    1

    h-index

  4. FH
    Frouke Hermens

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 49 citations

    1

    h-index

  5. CU
    Cosimo Urgesi

    University of Udine, Italy

    1 publications · 25 citations

    1

    h-index

1–5 of 90

Venues

  1. Experiments in Fluids

    3 publications · 76 citations

    3

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 2 publications · 26 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 87 citations

    2

    h-index

  4. Signal Processing

    1 publications · 13 citations

    1

    h-index

  5. Pattern Recognition Letters

    1 publications · 18 citations

    1

    h-index

1–5