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INTERSPEECH
2010
15 years 1 months ago
Canonical state models for automatic speech recognition
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
Mark J. F. Gales, Kai Yu
TIT
2010
158views Education» more  TIT 2010»
15 years 1 months ago
Belief propagation, Dykstra's algorithm, and iterated information projections
Belief propagation is shown to be an instance of a hybrid between two projection algorithms in the convex programming literature: Dykstra's algorithm with cyclic Bregman proje...
John MacLaren Walsh, Phillip A. Regalia
TSP
2010
15 years 29 days ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...
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ICASSP
2011
IEEE
14 years 10 months ago
Trading off communications bandwidth with accuracy in adaptive diffusion networks
In this paper, a novel algorithm for bandwidth reduction in adaptive distributed learning is introduced. We deal with diffusion networks, in which the nodes cooperate with each ot...
Symeon Chouvardas, Konstantinos Slavakis, Sergios ...
ICASSP
2011
IEEE
14 years 10 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu
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