299 citations · 646 across the 28 of their papers we have counts for
8 papers · 1 filter
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…
Feature learning for efficient ASR-free keyword spotting in low-resource languages
Ewald van der Westhuizen, Herman Kamper, Raghav Menon +2
We consider feature learning for efficient keyword spotting that can be applied in severely under-resourced settings. The objective is to support humanitarian relief programmes by…
Multilingual training set selection for ASR in under-resourced Malian languages
Ewald van der Westhuizen, Trideba Padhi, Thomas Niesler
We present first speech recognition systems for the two severely under-resourced Malian languages Bambara and Maasina Fulfulde. These systems will be used by the United Nations as…
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…
A Hybrid CNN-BiLSTM Voice Activity Detector
Nicholas Wilkinson, Thomas Niesler
This paper presents a new hybrid architecture for voice activity detection (VAD) incorporating both convolutional neural network (CNN) and bidirectional long short-term memory (BiL…
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…