4 citations · 9 across the 9 of their papers we have counts for
10 papers
Automatic estimation of verbal fluency index in people with Motor Neuron Disease using ASR alignment and pause modelling
Bahman Mirheidari, Leslie Ing, Daniel Blackburn +3
Monitoring cognitive impairment (CI) in motor neuron disease (MND) is essential for timely treatment and care, yet challenging due to co-occurring speech difficulties. The Edinburg…
PROCESS-2: A Benchmark Speech Corpus for Early Cognitive Impairment Detection
Madhurananda Pahar, Caitlin H. Illingworth, Bahman Mirheidari +7
Speech-based analysis offers a scalable and non-invasive approach for detecting cognitive decline, yet progress has been constrained by the limited availability of clinically valid…
False positive bias in AI-powered speech-based cognitive screening for multilingual English speakers in the UK
Madhurananda Pahar, Caitlin Illingworth, Dorota Braun +4
Conversational speech reveals early signs of cognitive decline, including dementia and mild cognitive impairment (MCI). AI models show promise for speech-based screening, yet most…
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…
Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge
Fuxiang Tao, Bahman Mirheidari, Madhurananda Pahar +12
Dementia is associated with various cognitive impairments and typically manifests only after significant progression, making intervention at this stage often ineffective. To addres…
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
Bahman Mirheidari, André Bittar, Nicholas Cummins +3
We present a novel feasibility study on the automatic recognition of Expressed Emotion (EE), a family environment concept based on caregivers speaking freely about their relative/f…
Data augmentation using generative networks to identify dementia
Bahman Mirheidari, Yilin Pan, Daniel Blackburn +5
Data limitation is one of the most common issues in training machine learning classifiers for medical applications. Due to ethical concerns and data privacy, the number of people t…
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt
Bahman Mirheidari, Yilin Pan, Traci Walker +4
Cognitive decline is a sign of Alzheimer's disease (AD), and there is evidence that tracking a person's eye movement, using eye tracking devices, can be used for the automatic iden…