Generative model-based speaker clustering via mixture of von Mises-Fisher distributions

Abstract

This paper proposes a generative model-based speaker clustering algorithm in the maximum a posteriori adapted Gaussian mixture model (GMM) mean supervector space. The algorithm can be viewed as an extension of the standard expectation maximization algorithm for fitting a mixture model to the data, which iterates between two steps - a sample re-assignment… (More)
DOI: 10.1109/ICASSP.2009.4960530

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@article{Tang2009GenerativeMS, title={Generative model-based speaker clustering via mixture of von Mises-Fisher distributions}, author={Hao Tang and Stephen M. Chu and Thomas S. Huang}, journal={2009 IEEE International Conference on Acoustics, Speech and Signal Processing}, year={2009}, pages={4101-4104} }