TheraSpeech: An Intelligent Speech Therapy System for Velopharyngeal Insufficiency
Joanne C. Castillo, Joseph Z. Fabian, Mark Lean V. Magbanua, John Rhio F. Saloma, Ria A. Sagum · International Journal of Computer and Communication Engineering · 2014
This document outlines the use of an intelligent speech therapy system as a learning aide for individual having a speech disorder known as Velopharyngeal Insufficiency.The goal is to detect speech disorder under a phoneme specific etiology such as plosives, affricates, and fricatives.The system used speech recognition to capture and evaluate speech signals and give an accurate and correct module for the user.The digital signals were processed, analyzed and computed using Mel Frequency Cepstral Coefficient (MFCC).Through these methods, system will come up with a speech evaluation results and modules for therapy.The system was tested by random students having an accuracy of 85.55%.