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EJASMP
2010
196views more  EJASMP 2010»
15 years 9 days ago
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
IHI
2010
106views Healthcare» more  IHI 2010»
15 years 8 days ago
Identifying opportunities for inpatient-centric technology
The evolution from a disease-centered model of care to a more patient-centered model presents opportunities for going beyond designing technology to support medical professionals ...
Meredith M. Skeels, Desney S. Tan
INTERSPEECH
2010
15 years 8 days ago
Investigation of full-sequence training of deep belief networks for speech recognition
Recently, Deep Belief Networks (DBNs) have been proposed for phone recognition and were found to achieve highly competitive performance. In the original DBNs, only framelevel info...
Abdel-rahman Mohamed, Dong Yu, L. Deng
JMLR
2010
145views more  JMLR 2010»
15 years 7 days ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
JMLR
2010
185views more  JMLR 2010»
15 years 7 days ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto
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