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» Canonical state models for automatic speech recognition
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ICASSP
2009
IEEE
15 years 4 months ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
76
Voted
ICASSP
2010
IEEE
14 years 9 months ago
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
Lukas Burget, Petr Schwarz, Mohit Agarwal, Pinar A...
67
Voted
ICASSP
2010
IEEE
14 years 9 months ago
Information retrieval methods for automatic speech recognition
In this paper, we use information retrieval (IR) techniques to improve a speech recognition (ASR) system. The potential benefits include improved speed, accuracy, and scalability...
Xiaoqiang Xiao, Jasha Droppo, Alex Acero
WCE
2007
14 years 10 months ago
Automatic State Machine Induction for String Recognition
—One problem of generating a model to recognize any string is how to generate one that is generalized enough to accept strings with similar patterns and, at the same time, is spe...
Boontee Kruatrachue, Nattachat Pantrakarn, Kritawa...
106
Voted
IJCNN
2006
IEEE
15 years 3 months ago
Reservoir-based techniques for speech recognition
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...