Acoustic Scene Classification

Acoustic Scene Classification is a computational task that identifies the overall auditory environment from acoustic signals by categorizing recordings into predefined scene types based on their ambient sound characteristics.

529

Publications

28.4K

Citations

1.4K

Authors

512

Institutions

Publications per year

2017–2026

342

Authors

1.4K

  1. MD
    Mark D. Plumbley

    Queen Mary University of London, United Kingdom

    24 publications · 4K citations

    21

    h-index

  2. TV
    Tuomas Virtanen

    22 publications · 2.5K citations

    19

    h-index

  3. TH
    Toni Heittola

    17 publications · 2.3K citations

    17

    h-index

  4. WW
    Wenwu Wang

    University of Surrey, United Kingdom

    18 publications · 2K citations

    16

    h-index

  5. AM
    Annamaria Mesaros

    Tampere University, Finland

    16 publications · 2.2K citations

    16

    h-index

1–5 of 1.4K

Venues

  1. Applied Acoustics

    37 publications · 1.9K citations

    26

    h-index

  2. arXiv (Cornell University)

    Repository · 30 publications · 1.3K citations

    22

    h-index

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

    TASLP · 21 publications · 2.6K citations

    18

    h-index

  4. Expert Systems with Applications

    13 publications · 407 citations

    11

    h-index

  5. Neurocomputing

    9 publications · 590 citations

    9

    h-index

1–5