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Computer Speech & Language, ISSN 0885-2308, 2011, Volume 25, Issue 2, pp. 404 - 439
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the... 
Subspace Gaussian Mixture Model | Gaussian Mixture Model | Speech recognition | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Voice recognition | Markov processes | Models | Mathematical analysis | C (programming language) | Speech | Gaussian | Mathematical models | Vectors (mathematics) | Standards
Journal Article
1993, 1st ed., ISBN 041231410X, Volume 49., xiv, 295
Book
2001, 2nd ed., Adaptive computation and machine learning., ISBN 026202506X, xxi, 452
Book
Nature methods, ISSN 1548-7091, 09/2019, Volume 16, Issue 9, pp. 795 - 796
“Everything we see hides another thing, we always want to see what is hidden by what we see” — Rene Magritte 
Markov processes | Usage | Transition state (Chemistry) | Hidden Markov models | Analysis | Hides | Markov models
Journal Article
2016, Springer series in operations research and financial engineering, ISBN 3319296787, xv, 320 pages
Book
2005, Advanced information and knowledge processing, ISBN 1852337788, 519
eBook