Sound Texture Analysis

Sound Texture Analysis is a computational method within timbre analysis that characterizes the perceived grain, density, and temporal regularity of sound events to distinguish complex auditory scenes or sources based on their textural qualities rather than spectral or harmonic content.

51

Publications

2.6K

Citations

119

Authors

74

Institutions

Publications per year

2017–2026

15

Authors

119

  1. JH
    Josh H. McDermott

    Massachusetts Institute of Technology, United States

    4 publications · 595 citations

    4

    h-index

  2. DS
    Diemo Schwarz

    Institut de Recherche et Coordination Acoustique Musique, France

    3 publications · 71 citations

    3

    h-index

  3. SD
    Shlomo Dubnov

    University of California San Diego, United States

    3 publications · 109 citations

    3

    h-index

  4. TK
    Takumi Kobayashi

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 54 citations

    2

    h-index

  5. JY
    Jiaxing Ye

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 54 citations

    2

    h-index

1–5 of 119

Venues

  1. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 3 publications · 71 citations

    3

    h-index

  2. Journal of New Music Research

    2 publications · 37 citations

    2

    h-index

  3. Applied Acoustics

    2 publications · 43 citations

    2

    h-index

  4. IEEE Transactions on Multimedia

    2 publications · 110 citations

    2

    h-index

  5. Conference proceedings

    Conference · 1 publications · 12 citations

    1

    h-index

1–5