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Towards a Deep Learning Based ASR System for Users with Dysarthria

  • Davide Mulfari
  • Gabriele Meoni
  • Marco Marini
  • Luca Fanucci
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10896)

Abstract

In this paper, we investigate the benefits of deep learning approaches for the development of personalized assistive technology solutions for users with dysarthria, a speech disorder that leads to low intelligibility of users’ speaking. It prevents these people from using automatic speech recognition (ASR) solutions on computers and mobile devices. In order to address these issue, our effort is to leverage convolutional neural networks toward a speaker dependent ASR software solution intended for users with dysarthria, which can be trained according to particular user’s needs and preferences.

Keywords

Deep learning Assistive technology Speech recognition Dysarthria 

References

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Davide Mulfari
    • 1
  • Gabriele Meoni
    • 1
  • Marco Marini
    • 1
  • Luca Fanucci
    • 1
  1. 1.University of PisaPisaItaly

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