no code implementations • 1 Jun 2023 • Shakeel A. Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
The adoption of advanced deep learning architectures in stuttering detection (SD) tasks is challenging due to the limited size of the available datasets.
no code implementations • 21 Feb 2023 • Shakeel A. Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
In addition, we propose a multi-contextual (MC) StutterNet, which exploits different contexts of the stuttered speech, resulting in an overall improvement of 4. 48% in F 1 over the single context based MB StutterNet.
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.
no code implementations • 12 May 2021 • Shakeel A. Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni
Compared to the existing work, which depends on the ASR module, our method relies solely on the acoustic signal.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • JEPTALNRECITAL 2020 • Sara Dahmani, Vincent Colotte, Slim Ouni
Dans le pass{\'e}, les descripteurs contextuels pour la synth{\`e}se de la parole acoustique ont {\'e}t{\'e} {\'e}tudi{\'e}s pour l{'}entra{\^\i}nement des syst{\`e}mes bas{\'e}s sur des HMMs.
no code implementations • JEPTALNRECITAL 2012 • Christophe Savariaux, Pierre Badin, Slim Ouni, Brigitte Wrobel-Dautcourt