no code implementations • 20 Jul 2022 • Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
In this paper, we present end-to-end and speech embedding based systems trained in a self-supervised fashion to participate in the ACM Multimedia 2022 ComParE Challenge, specifically the stuttering sub-challenge.
no code implementations • 4 Apr 2022 • Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
The adoption of advanced deep learning (DL) architecture in stuttering detection (SD) tasks is challenging due to the limited size of the available datasets.
no code implementations • 4 Apr 2022 • Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
By automatic detection and identification of stuttering, speech pathologists can track the progression of disfluencies of persons who stutter (PWS).
no code implementations • 8 Jul 2021 • Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
Stuttering is a speech disorder during which the flow of speech is interrupted by involuntary pauses and repetition of sounds.