TY - GEN
T1 - Implementation of a solution for the remote management of speech therapy in postoperative cleft lip patients using speech recognition and gamification
AU - Garay, Angel Piero Aranda
AU - Benites, Victor Sahel Vargas
AU - Padilla, Alfredo Barrientos
AU - Galvez, Miguel Eduardo Cuadros
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The objective of the present work is to develop a solution that remotely strengthens the pronunciation of postoperative cleft lip patients. One of the problems as-sociated with cleft lip patients is that, despite undergoing a surgical procedure, they lose the ability to correctly pronounce certain phonemes, words or sentences. For this reason, the developed solution seeks to support these patients through the remote management of speech therapy sessions in three different stages: grimaces, phonemes and vocabulary. Both the grimaces and phonemes stages will be qualified by a doctor through a web application that will receive the multimedia files sent by the patients from a mobile application. While, in the vocabulary stage, the grading will be completely automated thanks to the integration of speech recognition technology in the mobile application. It should be noted that, in order to achieve consistency on the patients' side, recreational activities will be implemented that enliven the learning of therapy sessions.
AB - The objective of the present work is to develop a solution that remotely strengthens the pronunciation of postoperative cleft lip patients. One of the problems as-sociated with cleft lip patients is that, despite undergoing a surgical procedure, they lose the ability to correctly pronounce certain phonemes, words or sentences. For this reason, the developed solution seeks to support these patients through the remote management of speech therapy sessions in three different stages: grimaces, phonemes and vocabulary. Both the grimaces and phonemes stages will be qualified by a doctor through a web application that will receive the multimedia files sent by the patients from a mobile application. While, in the vocabulary stage, the grading will be completely automated thanks to the integration of speech recognition technology in the mobile application. It should be noted that, in order to achieve consistency on the patients' side, recreational activities will be implemented that enliven the learning of therapy sessions.
KW - Cleft lip
KW - Gamification
KW - Speech recognition
KW - Speech therapy
UR - https://www.scopus.com/pages/publications/85123361767
U2 - 10.1109/EIRCON52903.2021.9613690
DO - 10.1109/EIRCON52903.2021.9613690
M3 - Contribución a la conferencia
AN - SCOPUS:85123361767
T3 - Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021
BT - Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Engineering International Research Conference, EIRCON 2021
Y2 - 27 October 2021 through 29 October 2021
ER -