Abstract
According to various studies conducted in Cuenca, Ecuador, most school children with speech disorders have dyslalia pathologies. However, in Ecuador, most special education/rehabilitation centers continue to use traditional materials to carry out therapy sessions for children with dyslalia. This situation is due to the few existing tools commonly are developed in other countries (such as Spain) and not address the patient's needs (context, idiosyncrasy, and local vocabulary). For these reasons, we present an educational application that can be used by speech-language therapists during the therapy sessions (face-to-face or online). This tool is designed to be executed in both, desktop computers and embedded devices that control educational robots (such as Raspberry PI or similar boards). Currently, the application contains several exercises and activities related to the 27 phonemes of the Spanish language. In the same way, the application includes an Automatic Speech Recognition (ASR) module that can work with online/offline servers. To evaluate the accuracy and app features, we conducted an experiment with a team of experts in the speech-language therapy area.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pascual Garcia, P.: Tratamiento de los defectos de articulación en el lenguaje del niño. Cisspraxis, Barcelona (2003)
Pascual García, P.: La dislalia: naturaleza, diagnóstico y rehabilitación. Ciencias de la Educación Preescolar y Especial, Madrid (1978)
Andreeva, A., Ioannou, A.: Robot- assisted speech and language therapy for children with hearing impairment, Speech Languaje Ther., vol. 1, núm 1, Art. núm 1 (2020)
Pulido, J. C., González, J., Suárez-Mejías. C., Bandera, A., Bustos, P., Fernández, F.: Evaluating the Child–Robot Interaction of the NAO Therapist Platform in Pediatric Rehabilitation, Int. J. Soc. Robot. 9(3), 343–358 (2017)
Di Nuovo, A., Conti, D., Trubia, G., Buono, S., Di Nuovo, S.: Deep learning systems for estimating visual attention in robot-assisted therapy of children with autism and intellectual disability, Robotics, vol. 7, núm 2, Art. núm 2 (2018)
Goenaga, S., Navarro, L., Quintero, C. G., Pardo, M.: Imitating Human Emotions with a NAO Robot as Interviewer Playing the Role of Vocational Tutor, Electronics, vol. 9, núm 6, Art. núm 6 (2020)
Wood, L.J., Zaraki, A., Robins, B., Dautenhahn, K.: Developing Kaspar: A Humanoid Robot for Children with Autism, Int. J. Soc. Robot (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Tenesaca-Tenezaca, Ó., León-Pesántez, A., Velásquez-Angamarca, V., Robles-Bykbaev, V. (2021). FonAPP: An Interactive Application for the Therapeutic Intervention of Children with Dyslalia from Embedded Devices and Robotic Assistants. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_67
Download citation
DOI: https://doi.org/10.1007/978-3-030-80829-7_67
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-80828-0
Online ISBN: 978-3-030-80829-7
eBook Packages: EngineeringEngineering (R0)