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» Parallel Training of Neural Networks for Speech Recognition
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LREC
2008
128views Education» more  LREC 2008»
13 years 8 months ago
Emotion Recognition from Speech: Stress Experiment
The goal of this work is to introduce an architecture to automatically detect the amount of stress in the speech signal close to real time. For this an experimental setup to recor...
Stefan Scherer, Hansjörg Hofmann, Malte Lampm...
ICASSP
2011
IEEE
12 years 11 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
ICASSP
2009
IEEE
13 years 5 months ago
Phonological features in discriminative classification of dysarthric speech
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
Frank Rudzicz
ICML
2006
IEEE
14 years 8 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 7 months ago
A Parallel Framework for Multilayer Perceptron for Human Face Recognition
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is th...
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita...