Nowadays, dysarthric speech processing represents a challenge in assistive technology contexts. In this paper, we investigate the use of machine learning in conjunction with convolutional neural networks to implement a speaker dependent solution that is capable to detect just a few number of predefined keywords. The proposed system has been trained with utterances from Italian users with severe and mild dysarthria and it is configurable according to specific users' preferences.

Machine learning in assistive technology: A solution for people with dysarthria

Mulfari, Davide;Meoni, Gabriele;Fanucci, Luca
2018-01-01

Abstract

Nowadays, dysarthric speech processing represents a challenge in assistive technology contexts. In this paper, we investigate the use of machine learning in conjunction with convolutional neural networks to implement a speaker dependent solution that is capable to detect just a few number of predefined keywords. The proposed system has been trained with utterances from Italian users with severe and mild dysarthria and it is configurable according to specific users' preferences.
2018
9781450365819
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/949938
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