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INTERSPEECH
2010
12 years 11 months ago
Improved neural network based language modelling and adaptation
Neural network language models (NNLM) have become an increasingly popular choice for large vocabulary continuous speech recognition (LVCSR) tasks, due to their inherent generalisa...
Junho Park, Xunying Liu, Mark J. F. Gales, Philip ...
ICASSP
2009
IEEE
13 years 8 months ago
Neural network based language models for highly inflective languages
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
Tomas Mikolov, Jirí Kopecký, Lukas B...
WSC
2004
13 years 6 months ago
Adaptive Wavelet Neural Network for Prediction of Hourly NOx and NO2 Concentrations
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
Zhiguo Zhang, Ye San
TNN
2008
177views more  TNN 2008»
13 years 4 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
NC
1998
170views Neural Networks» more  NC 1998»
13 years 6 months ago
Neural Network Supported Adaptation in Case-based Reasoning
: This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
Yain-Whar Si, Otakar Babka