Speaker Clustering

Speaker Clustering is the computational process of partitioning an audio signal into homogeneous segments based on speaker identity, where each cluster corresponds to a distinct individual, distinguishing it from general clustering by its specific focus on diarizing speakers in unsegmented speech.

237

Publications

11.5K

Citations

510

Authors

152

Institutions

Publications per year

2017–2026

45

Variants

Speaker Diarization

Authors

510

  1. SM
    Sylvain Meignier

    Le Mans Université, France

    11 publications · 659 citations

    11

    h-index

  2. IL
    Itshak Lapidot

    Ben-Gurion University of the Negev, Israel

    8 publications · 291 citations

    8

    h-index

  3. CW
    Chuck Wooters

    International Computer Science Institute, United States

    8 publications · 465 citations

    8

    h-index

  4. SH
    Shota Horiguchi

    Hitachi (Japan), Japan

    8 publications · 699 citations

    8

    h-index

  5. SW
    Shinji Watanabe

    Johns Hopkins University, United States

    8 publications · 699 citations

    8

    h-index

1–5 of 510

Venues

  1. 12

    h-index

  2. 9

    h-index

  3. arXiv (Cornell University)

    Repository · 8 publications · 160 citations

    8

    h-index

  4. 4

    h-index

  5. 4

    h-index

1–5