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» Learning a language model from continuous speech
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JMLR
2010
140views more  JMLR 2010»
14 years 4 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
HYBRID
2010
Springer
15 years 4 months ago
From synchronous programs to symbolic representations of hybrid systems
In this paper, we present an extension of the synchronous language Quartz by new kinds of variables, actions and statements for modeling the interaction of synchronous systems wit...
Kerstin Bauer, Klaus Schneider
ACL
2010
14 years 8 months ago
Combining Data and Mathematical Models of Language Change
English noun/verb (N/V) pairs (contract, cement) have undergone complex patterns of change between 3 stress patterns for several centuries. We describe a longitudinal dataset of N...
Morgan Sonderegger, Partha Niyogi
ICASSP
2008
IEEE
15 years 4 months ago
Gaze-contingent asr for spontaneous, conversational speech: An evaluation
There has been little work that attempts to improve the recognition of spontaneous, conversational speech by adding information from a loosely-coupled modality. This study investi...
Neil Cooke, Martin J. Russell
ICASSP
2008
IEEE
15 years 4 months ago
Language recognition with discriminative keyword selection
One commonly used approach for language recognition is to convert the input speech into a sequence of tokens such as words or phones and then to use these token sequences to deter...
Fred S. Richardson, William M. Campbell