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» Lithuanian Speech Recognition Using the English Recognizer
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ICDAR
2009
IEEE
15 years 4 months ago
Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
Huiqun Deng, George Stathopoulos, Ching Y. Suen
ICASSP
2011
IEEE
14 years 1 months ago
Exemplar-based Sparse Representation phone identification features
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadra...
ACL
1996
14 years 11 months ago
A Robust System for Natural Spoken Dialogue
This paper describes a system that leads us to believe in the feasibility of constructing natural spoken dialogue systems in task-oriented domains. It specifically addresses the i...
James F. Allen, Bradford W. Miller, Eric K. Ringge...
ICASSP
2010
IEEE
14 years 9 months ago
Approaches to automatic lexicon learning with limited training examples
Preparation of a lexicon for speech recognition systems can be a significant effort in languages where the written form is not exactly phonetic. On the other hand, in languages w...
Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar...
INTERACT
2003
14 years 11 months ago
Error Resolution Strategies for Interactive Television Speech Interfaces
: Using speech input to augment the remote control can be an alternative interaction technique for interactive television. However, little is known about how to design such a syste...
Aseel Berglund, Pernilla Qvarfordt