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Deep neural network architectures for dysarthric speech analysis and recognition |
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| Authors: | Zaidi Brahim Fares Selouani Sid Ahmed Boudraa Malika Sidi Yakoub Mohammed |
| Affiliation: | 1.Laboratory of Speech Communication and Signal Processing (LSCSP), USTHB University, Algiers, Algeria ;2.Laboratory of Research in Human-System Interaction (LARHSI), University of Moncton, Shippagan Campus, Moncton, Canada ; |
| Abstract: | Neural Computing and Applications - This paper investigates the ability of deep neural networks (DNNs) to improve the automatic recognition of dysarthric speech through the use of convolutional... |
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