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» Fitting hidden Markov models to psychological data
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TSP
2010
13 years 3 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
FCCM
2002
IEEE
114views VLSI» more  FCCM 2002»
14 years 1 months ago
Implementing a Simple Continuous Speech Recognition System on an FPGA
Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. W...
Stephen J. Melnikoff, Steven F. Quigley, Martin J....
IJAR
2007
100views more  IJAR 2007»
13 years 8 months ago
Multisensor triplet Markov chains and theory of evidence
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...
Wojciech Pieczynski
ACII
2007
Springer
14 years 2 months ago
SuperDreamCity: An Immersive Virtual Reality Experience That Responds to Electrodermal Activity
In this paper we describe an artistic exhibition that took place in our highly-immersive virtual-reality laboratory. We have allowed visitors to explore a virtual landscape based o...
Doron Friedman, Kana Suji, Mel Slater
ACL
2010
13 years 6 months ago
Correcting Errors in Speech Recognition with Articulatory Dynamics
We introduce a novel mechanism for incorporating articulatory dynamics into speech recognition with the theory of task dynamics. This system reranks sentencelevel hypotheses by th...
Frank Rudzicz