Gaussian Mixture Models
Gaussian Mixture Models is a probabilistic model that represents a composite distribution as a weighted sum of multiple Gaussian components, distinguishing itself from other density estimation methods by modeling data as arising from a mixture of several underlying normal distributions with varying means and covariances.
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2017–2026
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Kaldi Speech Recognition Toolkit
Daniel Povey · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2024 · 4.9K citations · Full text
Computing, Linguistics, Acoustics +15
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Centre National de la Recherche Scientifique
Paris, France
45 h-index
336 publications
26.6K citations
Massachusetts Institute of Technology
Cambridge, United States
44 h-index
152 publications
13.8K citations
Carnegie Mellon University
Pittsburgh, United States
39 h-index
175 publications
14.8K citations
Nanyang Technological University
Singapore, Singapore
36 h-index
167 publications
11.9K citations
Microsoft (United States)
Redmond, United States
36 h-index
88 publications
39.2K citations
University of California, Berkeley
Berkeley, United States
35 h-index
122 publications
13.3K citations
Tsinghua University
Beijing, China
35 h-index
238 publications
14.3K citations

Chinese Academy of Sciences
Beijing, China
34 h-index
237 publications
9.4K citations
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108 publications · 13.9K citations
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86 publications · 9.2K citations
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71 publications · 6.3K citations
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TPAMI · 60 publications · 15K citations
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Repository · 158 publications · 8.8K citations
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