On the use of GSV-SVM for Speaker Diarization and Tracking

  title={On the use of GSV-SVM for Speaker Diarization and Tracking},
  author={Viet Bac Le and Claude Barras and Marc Ferras},
In this paper, we present the use of Gaussian Supervectors wi th Support Vector Machines classifiers (GSV-SVM) in an acoustic speaker diarization and a speaker tracking system, compared with a standard Gaussian Mixture Model system based on adapted Universal Background Models (GMM-UBM). GSVSVM systems (which share the adaptation step with the GMMUBM systems) are observed to have comparable performances: for acoustic speaker diarization, the GMM-UBM system outperforms the GSV-SVM system on… CONTINUE READING

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