5 citations · 21 across the 12 of their papers we have counts for
5 papers · 1 filter
Overview of Automatic Speech Analysis and Technologies for Neurodegenerative Disorders: Diagnosis and Assistive Applications
Shakeel A. Sheikh, Md. Sahidullah, Ina Kodrasi
Advancements in spoken language technologies for neurodegenerative speech disorders are crucial for meeting both clinical and technological needs. This overview paper is vital for…
Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection
Yacouba Kaloga, Shakeel A. Sheikh, Ina Kodrasi
Recently proposed automatic pathological speech detection approaches rely on spectrogram input representations or wav2vec2 embeddings. These representations may contain pathology i…
Selfsupervised learning for pathological speech detection
Shakeel Ahmad Sheikh
Speech production is a complex phenomenon, wherein the brain orchestrates a sequence of processes involving thought processing, motor planning, and the execution of articulatory mo…
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…
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…