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ICASSP
2009
IEEE
14 years 4 months ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero
ICB
2007
Springer
112views Biometrics» more  ICB 2007»
14 years 3 months ago
Similarity Rank Correlation for Face Recognition Under Unenrolled Pose
Face recognition systems have to deal with the problem that not all variations of all persons can be enrolled. Rather, the variations of most persons must be modeled. Explicit mode...
Marco K. Müller, Alexander Heinrichs, Andreas...
ACL
2001
13 years 11 months ago
Practical Issues in Compiling Typed Unification Grammars for Speech Recognition
Current alternatives for language modeling are statistical techniques based on large amounts of training data, and hand-crafted context-free or finite-state grammars that are diff...
John Dowding, Beth Ann Hockey, Jean Mark Gawron, C...
ICASSP
2010
IEEE
13 years 10 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
AAAI
2010
13 years 11 months ago
Multi-Agent Plan Recognition: Formalization and Algorithms
Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors from the observations of the activity-sequences of a set of intelligent agents...
Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle