Open AccessDesign and Evaluation of a Spanish Language Therapy Support System
Author(s) -
Karla I. Arce-Ruelas,
Omar Álvarez-Xochihua,
José A. Gonzalez-Fraga,
Evelio Martinez-Martinez,
Patricia Páez Manjarrez
Publication year - 2021
Publication title -
journal of language teaching and research
Language(s) - English
Resource type - Journals
eISSN - 2053-0684
pISSN - 1798-4769
DOI - 10.17507/jltr.1206.01
Subject(s) - computer science , ontology , natural language processing , specific language impairment , artificial intelligence , speech recognition , psychology , developmental psychology , philosophy , epistemology
Specific Language Impairment (SLI) is a language disorder that delays progress in mastering speech-language skills, and typically occurs in childhood. Most speech-language pathologists commonly use paper-based instruments to diagnose and treat this problem. This article describes the design, implementation, and evaluation of SATEL, an ontology-based system used both in diagnosing this condition and as part of speech therapy for children with SLI. With the help of a Kinect sensor, SATEL is able to recognize and classify pronounced words. The proposed system was designed and evaluated by a team of four speech-language pathologists and 26 children diagnosed with SLI. Results showed an accuracy rate of 94.42% and 97.75% in recognizing syllables and words correctly and incorrectly pronounced in the diagnostic and treatment modules, respectively.