Abstract
In Chapter 10 we discussed parameter estimation and model selection. In this chapter, we will review different techniques for partitioning the total sample space
Keywords
- Unsupervised Cluster
- Speaker Recognition
- High Order Statistic
- Basic Cluster Technique
- Expectation Maximization
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© 2011 Springer Science+Business Media, LLC
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Beigi, H. (2011). Unsupervised Clustering and Learning. In: Fundamentals of Speaker Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77592-0_11
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DOI: https://doi.org/10.1007/978-0-387-77592-0_11
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