4 citations · 6 across the 2 of their papers we have counts for
3 papers
Robust Stuttering Detection via Multi-task and Adversarial Learning
Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch +1
By automatic detection and identification of stuttering, speech pathologists can track the progression of disfluencies of persons who stutter (PWS). In this paper, we investigate t…
Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection
Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch +1
The adoption of advanced deep learning (DL) architecture in stuttering detection (SD) tasks is challenging due to the limited size of the available datasets. To this end, this work…
StutterNet: Stuttering Detection Using Time Delay Neural Network
Shakeel A. Sheikh, Md Sahidullah, Fabrice Hirsch +1
This paper introduces StutterNet, a novel deep learning based stuttering detection capable of detecting and identifying various types of disfluencies. Most of the existing work in…