299 citations · 574 across the 12 of their papers we have counts for
13 papers
CCMAN: Cognitive Instability-Aware Cross-Modal Attention Network for Interpretable Temporal Biomarkers of Verbal Fluency Speech
Madhurananda Pahar, Caitlin Illingworth, Dorota Braun +2
Early detection of cognitive decline from speech offers a scalable and non-invasive alternative to conventional clinical assessment. Verbal fluency tasks are particularly informati…
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…
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 Tuberculosis and COVID-19 cough classification using deep learning
Madhurananda Pahar, Marisa Klopper, Byron Reeve +4
We present a deep learning based automatic cough classifier which can discriminate tuberculosis (TB) coughs from COVID-19 coughs and healthy coughs. Both TB and COVID-19 are respir…
Accelerometer-based Bed Occupancy Detection for Automatic, Non-invasive Long-term Cough Monitoring
Madhurananda Pahar, Igor Miranda, Andreas Diacon +1
We present a new machine learning based bed-occupancy detection system that uses the accelerometer signal captured by a bed-attached consumer smartphone. Automatic bed-occupancy de…
Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring
Madhurananda Pahar, Marisa Klopper, Byron Reeve +4
We present `wake-cough', an application of wake-word spotting to coughs using a Resnet50 and the identification of coughers using i-vectors, for the purpose of a long-term, persona…
Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals
Madhurananda Pahar, Igor Miranda, Andreas Diacon +1
We present an automatic non-invasive way of detecting cough events based on both accelerometer and audio signals. The acceleration signals are captured by a smartphone firmly attac…
COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Features
Madhurananda Pahar, Marisa Klopper, Robin Warren +1
We present an experimental investigation into the effectiveness of transfer learning and bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath…
Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment
Madhurananda Pahar, Marisa Klopper, Byron Reeve +3
Objective: The automatic discrimination between the coughing sounds produced by patients with tuberculosis (TB) and those produced by patients with other lung ailments. Approach: W…
Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements
Madhurananda Pahar, Igor Miranda, Andreas Diacon +1
We have performed cough detection based on measurements from an accelerometer attached to the patient's bed. This form of monitoring is less intrusive than body-attached accelerome…
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings
Madhurananda Pahar, Marisa Klopper, Robin Warren +1
We present a machine learning based COVID-19 cough classifier which can discriminate COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a smartphon…