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Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome

INTRODUCTION: Individuals with Down syndrome (DS) often exhibit a severe speech impairment, with important consequences on language intelligibility. For these cases, the use of Augmentative Alternative Communication instruments, that increase an individual’s communication abilities, becomes crucial....

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Autores principales: Costanzo, Floriana, Fucà, Elisa, Caciolo, Cristina, Ruà, Deborah, Smolley, Sara, Weissberg, Danny, Vicari, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279874/
https://www.ncbi.nlm.nih.gov/pubmed/37346421
http://dx.doi.org/10.3389/fpsyg.2023.1176683
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author Costanzo, Floriana
Fucà, Elisa
Caciolo, Cristina
Ruà, Deborah
Smolley, Sara
Weissberg, Danny
Vicari, Stefano
author_facet Costanzo, Floriana
Fucà, Elisa
Caciolo, Cristina
Ruà, Deborah
Smolley, Sara
Weissberg, Danny
Vicari, Stefano
author_sort Costanzo, Floriana
collection PubMed
description INTRODUCTION: Individuals with Down syndrome (DS) often exhibit a severe speech impairment, with important consequences on language intelligibility. For these cases, the use of Augmentative Alternative Communication instruments, that increase an individual’s communication abilities, becomes crucial. Talkitt is a mobile application created by Voiceitt Company, exploiting speech recognition technology and artificial intelligence models to translate in real-time unintelligible sounds into clear words, allowing individuals with language production impairment to verbally communicate in real-time. METHODS: The study evaluated the usability and satisfaction related to the Talkitt application use, as well as effects on adapted behavior and communication, of participants with DS. A final number of 23 individuals with DS, aged 5.54 to 28.9 years, participated in this study and completed 6 months of training. The application was trained to consistently recognize at least 20 different unintelligible words (e.g., nouns and/or short phrases)/person. RESULTS: Results revealed good usability and high levels of satisfaction related to the application use. Moreover, we registered improvement in linguistic abilities, particularly naming. DISCUSSION: These results paves the road for a potential role of Talkitt application as a supportive and rehabilitative tool for DS.
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spelling pubmed-102798742023-06-21 Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome Costanzo, Floriana Fucà, Elisa Caciolo, Cristina Ruà, Deborah Smolley, Sara Weissberg, Danny Vicari, Stefano Front Psychol Psychology INTRODUCTION: Individuals with Down syndrome (DS) often exhibit a severe speech impairment, with important consequences on language intelligibility. For these cases, the use of Augmentative Alternative Communication instruments, that increase an individual’s communication abilities, becomes crucial. Talkitt is a mobile application created by Voiceitt Company, exploiting speech recognition technology and artificial intelligence models to translate in real-time unintelligible sounds into clear words, allowing individuals with language production impairment to verbally communicate in real-time. METHODS: The study evaluated the usability and satisfaction related to the Talkitt application use, as well as effects on adapted behavior and communication, of participants with DS. A final number of 23 individuals with DS, aged 5.54 to 28.9 years, participated in this study and completed 6 months of training. The application was trained to consistently recognize at least 20 different unintelligible words (e.g., nouns and/or short phrases)/person. RESULTS: Results revealed good usability and high levels of satisfaction related to the application use. Moreover, we registered improvement in linguistic abilities, particularly naming. DISCUSSION: These results paves the road for a potential role of Talkitt application as a supportive and rehabilitative tool for DS. Frontiers Media S.A. 2023-06-06 /pmc/articles/PMC10279874/ /pubmed/37346421 http://dx.doi.org/10.3389/fpsyg.2023.1176683 Text en Copyright © 2023 Costanzo, Fucà, Caciolo, Ruà, Smolley, Weissberg and Vicari. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Costanzo, Floriana
Fucà, Elisa
Caciolo, Cristina
Ruà, Deborah
Smolley, Sara
Weissberg, Danny
Vicari, Stefano
Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome
title Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome
title_full Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome
title_fullStr Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome
title_full_unstemmed Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome
title_short Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome
title_sort talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279874/
https://www.ncbi.nlm.nih.gov/pubmed/37346421
http://dx.doi.org/10.3389/fpsyg.2023.1176683
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