Speaker Diarization: Towards a More Robust and Portable System

Abstract

In this paper, we describe a new method for speaker segmentation and clustering of an audio document. For the segmentation phase, we combine the generalized likelihood ratio (GLR) and the Bayesian information criterion (BIC) in a way that avoids most of the parameters tuning. For the clustering phase, we use an existing approach that utilizes the eigen… (More)
DOI: 10.1109/ICASSP.2007.366956

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@article{Khoury2007SpeakerDT, title={Speaker Diarization: Towards a More Robust and Portable System}, author={Elie el Khoury and Christine S{\'e}nac and R{\'e}gine Andr{\'e}-Obrecht}, journal={2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07}, year={2007}, volume={4}, pages={IV-489-IV-492} }