Design and development of an AAC app based on a speech-to-symbol technology

Elena Radici, Stefano Bonacina, Gianluca De Leo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The purpose of this paper is to present the design and the development of an Augmentative and Alternative Communication app that uses a speech to symbol technology to model language, i.e. to recognize the speech and display the text or the graphic content related to it. Our app is intended to be adopted by communication partners who want to engage in interventions focused on improving communication skills. Our app has the goal of translating simple speech sentences in a set of symbols that are understandable by children with complex communication needs. We moderated a focus group among six AAC communication partners. Then, we developed a prototype. We are currently starting testing our app in an AAC Centre in Milan, Italy.

Original languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2574-2577
Number of pages4
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2016-October
ISSN (Print)1557-170X

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
CountryUnited States
CityOrlando
Period8/16/168/20/16

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Radici, E., Bonacina, S., & De Leo, G. (2016). Design and development of an AAC app based on a speech-to-symbol technology. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 2574-2577). [7591256] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7591256