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ICASSP
2011
IEEE
12 years 11 months ago
Training of error-corrective model for ASR without using audio data
This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that sufï¬...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
IIHMSP
2006
IEEE
137views Multimedia» more  IIHMSP 2006»
14 years 1 months ago
Understanding Human Behavior Using a Language Modeling Approach
Visual analysis of human behavior has generated considerable interest in the field of computer vision because of the wide spectrum of potential applications. In this paper, we pre...
Yu-Ming Liang, Sheng-Wen Shih, Arthur Chun-Chieh S...
INTERACT
2003
13 years 9 months ago
Designing and Prototyping Multimodal Commands
Abstract: Designing and implementing multimodal applications that take advantage of several recognitionbased interaction techniques (e.g. speech and gesture recognition) is a diffi...
Marie-Luce Bourguet
BMCBI
2010
229views more  BMCBI 2010»
13 years 8 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
MIDDLEWARE
2009
Springer
14 years 14 days ago
How to Keep Your Head above Water While Detecting Errors
Today’s distributed systems need runtime error detection to catch errors arising from software bugs, hardware errors, or unexpected operating conditions. A prominent class of err...
Ignacio Laguna, Fahad A. Arshad, David M. Grothe, ...