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» Recognition of Parametrised Models from 3D Data
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ICASSP
2011
IEEE
14 years 5 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 sufď¬...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
LRE
2006
173views more  LRE 2006»
15 years 1 months ago
Automatic induction of language model data for a spoken dialogue system
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Chao Wang, Grace Chung, Stephanie Seneff
ISCI
2007
84views more  ISCI 2007»
15 years 1 months ago
Simulating continuous fuzzy systems
: In our book to appear in print from Springer-Verlag GmbH, Simulating Continuous Fuzzy Systems, Buckley and Jowers, we use crisp continuous simulation under Matlab™/Simulink™ ...
Leonard J. Jowers, James J. Buckley, Kevin D. Reil...
NAACL
2010
14 years 11 months ago
Unsupervised Model Adaptation using Information-Theoretic Criterion
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
CIVR
2007
Springer
241views Image Analysis» more  CIVR 2007»
15 years 7 months ago
A robust scene recognition system for baseball broadcast using data-driven approach
We propose a robust scene recognition system for baseball broadcast videos. This system is based on the data-driven approach which has been successful in continuous speech recogni...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...