Automatic Speech Assessment System for Aphasia Speech Disorder

Abstract

Aphasia is a language impairment disorder that affects speech production or speech comprehension. Person face difficulties in communication due to long pauses, repetitions and fillers which makes an unstructured and stuttering utterances. Speech disorder of an Aphasia patient is divided into two types such as fluent speakers and non-fluent speakers. Identification of the severity level in the early stage is very important in order to take appropriate treatment therapy. For this, Speech Assessment System plays a vital role. This work focuses on building an Assessment system which is based on Ensemble Machine Learning classifier such as AdaBoost, AdaBoost (SVM), XGBoost, Bagging and Neural Network based Categorical model for the classification of the severity level. Depending on textual and acoustic features, aphasia severity level will get classified into 3 classes such as Low-AQ, Mild-AQ and High-AQ.