Identifying stuttering using deep learning

Abstract

Stuttering is a prevalent neurodevelopmental speech disorder, wherein people suffer from disfluencies in speech production. Speech disorders such as stuttering affect a variety of other communication problems such as hearing and fluency. Common therapies of stuttering involve strategies to minimize stuttering but do not attempt to eliminate stuttering, Researchers have analyzed the root cause of stuttering tends to be neurological roots. Therefore, there needs to be a more generic therapy technique which is more adaptive. This paper proposes a deep learning and neural network-based algorithm for adaptive neurological stuttering by utilizing the potential of mirror neurons.