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
Parents
237
Multi-view clustering via canonical correlation analysis
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu et al. · 2009 · 824 citations · Full text
A robust speaker clustering algorithm
Jitendra Ajmera, Chuck Wooters · 2004 · 242 citations · Full text
End-to-End Neural Speaker Diarization with Permutation-Free Objectives
Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi et al. · 2019 · 231 citations
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152
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
10 h-index
26 publications
1.3K citations
University of Cambridge
Cambridge, United Kingdom
10 h-index
28 publications
887 citations
Idiap Research Institute
Martigny-Combe, Switzerland
9 h-index
21 publications
886 citations

Johns Hopkins University
Baltimore, United States
8 h-index
12 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
20 publications
586 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
14 publications
428 citations
University of Southern California
Los Angeles, United States
7 h-index
17 publications
627 citations

International Computer Science Institute
Berkeley, United States
6 h-index
18 publications
583 citations
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13 publications · 698 citations
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TASLP · 9 publications · 605 citations
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Repository · 8 publications · 160 citations
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4 publications · 387 citations
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Conference · 4 publications · 191 citations
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