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» The limits of speech recognition
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ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
14 years 4 days ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
CBMS
1999
IEEE
14 years 1 days ago
Decision Support System for Multiuser Remote Microscopy in Telepathology
Recent advances in networking, robotics, and computer technology allow today realtime diagnosis, consultation, and education by using images obtained through remote microscopy. Th...
Dorin Comaniciu, Bogdan Georgescu, Peter Meer, Wen...
CIKM
1999
Springer
14 years 15 hour ago
A General Language Model for Information Retrieval
Statistical language modeling has been successfully used for speech recognition, part-of-speech tagging, and syntactic parsing. Recently, it has also been applied to information r...
Fei Song, W. Bruce Croft
ECAI
1998
Springer
13 years 12 months ago
The Neural Path to Dialogue Acts
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
M. Kipp
NN
1997
Springer
174views Neural Networks» more  NN 1997»
13 years 12 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani