![Bayesian statistics / Machine learning / Cluster analysis / Expectation–maximization algorithm / Maximum likelihood / Speech recognition / Speaker diarisation / Mixture model / Bayesian information criterion / Statistics / Estimation theory / Statistical theory Bayesian statistics / Machine learning / Cluster analysis / Expectation–maximization algorithm / Maximum likelihood / Speech recognition / Speaker diarisation / Mixture model / Bayesian information criterion / Statistics / Estimation theory / Statistical theory](https://www.pdfsearch.io/img/bc96ceab0bf8117405439d6f8ae0e596.jpg)
| Document Date: 2011-01-14 19:48:19 Open Document File Size: 414,32 KBShare Result on Facebook
Country Japan / United States / / / Facility Nelson Morgan1 / 2 University of California / USA International Computer Science Institute / / IndustryTerm baseline algorithm / agglomerative hierarchical clustering-based speaker diarization systems / state-of-the art diarization algorithms / speaker diarization algorithm / large vocabulary speech recognition systems / / Organization University of California / Berkeley / Swiss National Science Foundation / USA International Computer Science Institute / / Person Fabio Valente / Diarization / / / Position RT / reference speaker / NIST RT / same speaker / hypothesized speaker / Dev07 NIST RT / Speaker / / Product Altec XT1 Speakers / / ProgrammingLanguage ML / / ProvinceOrState California / / Technology state-of-the art diarization algorithms / speech recognition / baseline algorithm / machine learning / speaker diarization algorithm / / URL http /
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