4 citations · 9 across the 9 of their papers we have counts for
3 papers · 1 filter
Deep Learning for Tuberculosis Screening in a High-burden Setting using Cough Analysis and Speech Foundation Models
Ning Ma, Bahman Mirheidari, Guy J. Brown +6
Artificial intelligence (AI) systems can detect disease-related acoustic patterns in cough sounds, offering a scalable and cost-effective approach to tuberculosis (TB) screening in…
Exploring Gender Disparities in Automatic Speech Recognition Technology
Hend ElGhazaly, Bahman Mirheidari, Nafise Sadat Moosavi +1
This study investigates factors influencing Automatic Speech Recognition (ASR) systems' fairness and performance across genders, beyond the conventional examination of demographics…
CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech
Madhurananda Pahar, Fuxiang Tao, Bahman Mirheidari +8
The early signs of cognitive decline are often noticeable in conversational speech, and identifying those signs is crucial in dealing with later and more serious stages of neurodeg…