logo Idiap Research Institute        
 [BibTeX] [Marc21]
A Robust Speaker Clustering Algorithm
Type of publication: Conference paper
Citation: ajmera-rr-03-38b
Booktitle: IEEE Automatic Speech Recognition Understanding Workshop
Year: 2003
Note: IDIAP-RR 03-38
Crossref: ajmera-rr-03-38:
Abstract: In this paper, we present a novel speaker segmentation and clustering algorithm. The algorithm automatically performs both speaker segmentation and clustering without any prior knowledge of the identities or the number of speakers. Advantages of this algorithm over other approaches are: no need for training/development data, no threshold adjustment requirements, and robustness to different data conditions. This paper also reports the performance of the algorithm on different datasets released by NIST with different initial conditions and parameter settings. The consistently low speaker diarization error rate clearly indicates the robustness of the algorithm.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Ajmera, Jitendra
Wooters, Charles
Added by: [UNK]
Total mark: 0
  • ajmera2003asru.pdf
  • ajmera2003asru.ps