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Machine Learning and Applications, Fourth International Conference on (2010)
Washington, D.C., USA
Dec. 12, 2010 to Dec. 14, 2010
ISBN: 978-0-7695-4300-0
pp: 1010-1014
ABSTRACT
Speaker clustering is one of the important tasks in speech processing. Its goal is not to understand or analyse the spoken language, but to separate recordings from multiple speakers or to analyse the recordings and determine the number of speakers. While there are advanced models for speech recognition and generation, a simpler method might be sufficient for clustering of the speech data. In this paper, we discuss such method based on tracing visited portions of the feature space.
INDEX TERMS
clustering, voice processing, vector quantization, speaker clustering
CITATION

O. Sýkora, "Speaker Clustering Using Trails in Feature Space," Machine Learning and Applications, Fourth International Conference on(ICMLA), Washington, D.C., USA, 2010, pp. 1010-1014.
doi:10.1109/ICMLA.2010.160
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