A fast speaker indexing using vector quantization and second order statistics with adaptive threshold computation

Abstract

This paper describes an effective unsupervised speaker indexing approach. We suggest a two stage algorithm to speed-up the state-of-the-art algorithm based on the Bayesian Information Criterion (BIC). In the first stage of the merging process a computationally cheap method based on the vector quantization (VQ) is used. Then in the second stage a more… (More)

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Cite this paper

@inproceedings{Biatov2010AFS, title={A fast speaker indexing using vector quantization and second order statistics with adaptive threshold computation}, author={Konstantin Biatov}, booktitle={INTERSPEECH}, year={2010} }