Source Synthesis

Source Synthesis is a computational methodology within acoustic source modeling that generates artificial representations of sound sources by integrating physical, statistical, or machine learning-based principles to replicate or simulate the characteristics of real-world acoustic emissions.

151

Publications

5.2K

Citations

362

Authors

140

Institutions

Publications per year

2017–2026

50

Authors

362

  1. SS
    Sascha Spors

    Technische Universität Berlin, Germany

    7 publications · 128 citations

    7

    h-index

  2. JY
    Junichi Yamagishi

    University of Edinburgh, United Kingdom

    6 publications · 356 citations

    6

    h-index

  3. JA
    Jens Ahrens

    Technische Universität Berlin, Germany

    5 publications · 100 citations

    5

    h-index

  4. VV
    Vesa Välimäki

    Aalto University, Finland

    4 publications · 65 citations

    4

    h-index

  5. TT
    Tomoki Toda

    Nara Institute of Science and Technology, Japan

    4 publications · 83 citations

    4

    h-index

1–5 of 362

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 970 citations

    13

    h-index

  2. The Journal of the Abraham Lincoln Association

    8 publications · 613 citations

    8

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 8 publications · 336 citations

    8

    h-index

  4. 6

    h-index

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

    Repository · 4 publications · 76 citations

    4

    h-index

1–5