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¬...
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...
: 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...
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...
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...