Computational Auditory Scene Analysis

Computational Auditory Scene Analysis is a computational framework that models the process of organizing complex auditory environments into perceptually meaningful sound sources by simulating the human auditory system’s mechanisms for sound segregation and grouping.

154

Publications

11.5K

Citations

319

Authors

144

Institutions

Publications per year

2017–2026

36

Variants

Casa

Authors

319

  1. DW
    DeLiang Wang

    The Ohio State University, United States

    23 publications · 1.9K citations

    19

    h-index

  2. GJ
    Guy J. Brown

    University of Sheffield, United Kingdom

    11 publications · 1.5K citations

    11

    h-index

  3. HG
    Hiroshi G. Okuno

    Kyoto University, Japan

    11 publications · 252 citations

    11

    h-index

  4. DP
    Daniel P. W. Ellis

    Columbia University, United States

    8 publications · 462 citations

    8

    h-index

  5. YS
    Yang Shao

    The Ohio State University, United States

    7 publications · 470 citations

    7

    h-index

1–5 of 319

Venues

  1. 14

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 9 publications · 1.5K citations

    9

    h-index

  3. IEEE/ACM Transactions on Audio Speech and Language Processing

    TASLP · 8 publications · 1.2K citations

    8

    h-index

  4. Speech Communication

    7 publications · 455 citations

    7

    h-index

  5. Applied Acoustics

    3 publications · 133 citations

    3

    h-index

1–5