5 citations · 9 across the 4 of their papers we have counts for
5 papers
Virtual Speech Therapist: A Clinician-in-the-Loop AI Agent for Speech Therapy Planning
Shakeel Sheikh, Patrick Marmaroli, MD Sahidullah +4
This paper presents a proof of concept of the Virtual Speech Therapist (VST), an intelligent multi-agent based system designed to support stuttering assessment and individualized t…
Cyclostationarity Analysis as a Complement to Self-Supervised Representations for Speech Deepfake Detection
Cemal Hanilçi, Md Sahidullah, Tomi Kinnunen
Speech deepfake detection (SDD) is essential for maintaining trust in voice-driven technologies and digital media. Although recent SDD systems increasingly rely on SSL representati…
Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics
Md Sahidullah, Hye-jin Shim, Rosa Gonzalez Hautamäki +1
The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidd…
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…
Graph Neural Networks for Parkinsons Disease Detection
Shakeel A. Sheikh, Yacouba Kaloga, Md Sahidullah +1
Despite the promising performance of state of the art approaches for Parkinsons Disease (PD) detection, these approaches often analyze individual speech segments in isolation, whic…