Design and development of an AAC app based on a speech-to-symbol technology
- Elena Radici,
- Stefano Bonacina,
- Augusta University,
- Karolinska Institutet,
Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Related Event
Title
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Event type
OtherDate
08/16/2016 - 08/20/2016Location
OrlandoUnited States
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.
Publication Information
Output type
Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Original language
English (US)Article number
7591256Pages from-to (Number of pages)
Pages 2574-2577 (4 pages)Publication milestones
- Published - 10/13/2016
Publication status
Published - 10/13/2016
Publisher
Institute of Electrical and Electronics Engineers Inc.Publication series
- Publication series name: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print): 1557-170X
Volume: 2016-October
ISBN (Electronic)
9781457702204Publication IDs
- Scopus: 85009121684
- PubMed: 28268848
- ORCID: /0000-0001-6836-8360/work/189389445
Host publication title
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016Publication metrics
Metrics
SciVal
citations
5
SciVal
FWCI
0.90
SciVal
Author count
3
SciVal
Paper percentile
57
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
PlumX, opens in new tab
Citation count
6
Captures
24
