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» Performing Feature Selection With Multilayer Perceptrons
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ICASSP
2011
IEEE
14 years 1 months ago
Phoneme recognition using Boosted Binary Features
In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such cl...
Anindya Roy, Mathew Magimai-Doss, Sébastien...
95
Voted
IS
2010
14 years 8 months ago
ROC analysis of a fatigue classifier for vehicular drivers
— Few systems have been developed for the detection of fatigue / stress level of a vehicular driver in order to monitor and control the alertness level for preventing road accide...
Mahesh M. Bundele, Rahul Banerjee
ENGL
2007
109views more  ENGL 2007»
14 years 9 months ago
Using Neural Network for DJIA Stock Selection
—This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the ...
Tong-Seng Quah
ICASSP
2011
IEEE
14 years 1 months ago
Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition
In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs...
Ramya Rasipuram, Magimai.-Doss Mathew
73
Voted
NCA
2006
IEEE
14 years 9 months ago
Neural network modelling of word production in Finnish: coding semantic and non-semantic features
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
Antti Järvelin, Martti Juhola, Matti Laine