A Comparative Study of the Techniques for Feature Extraction and Classification in Stuttering

Disability in speech concerns many other communication problems such as hearing, and fluency. Stuttering is a neurodevelopmental disorder identified by the existence of dysfluencies during speech production. The disruptions of speech flow in stuttering have led a large body of researchers to examine the potential processes underlying speech-language production in people who stutter. This paper presents a survey on techniques of feature extraction and classification which are applied for automatic speech recognition, and also presents a comparative analysis of stuttering techniques on the basis of accuracy, sensitivity, specificity, and dataset size.