Abstract: Clustering techniques make up a major chunk of applications for data analysis in the real world such as consumer behavior studies, targeted marketing, and digital forensics. From using big ...
Abstract: We look at the long-standing problem of segmenting unlabeled speech into word-like segments and clustering these into a lexicon. Several previous methods use a scoring model coupled with ...
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