Papers Cough Classification

“Cough Classification” 태그가 달린 논문 8편 · 필터 해제

Federated Few-shot Learning for Cough Classification with Edge Devices

2023-09-03 · Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran 외

Automatically classifying cough sounds is one of the most critical tasks for the diagnosis and treatment of respiratory diseases. However, collecting a huge amount of labeled cough dataset is challenging mainly due to hi…

Cough Classification Federated Learning Few-Shot Learning

A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification

2022-09-09 · Lara Orlandic, Tomas Teijeiro, David Atienza

Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with such contagious diseases, many research te…

Cough Classification Diagnostic Sound Classification

TB or not TB? Acoustic cough analysis for tuberculosis classification

2022-09-02 · Geoffrey Frost, Grant Theron, Thomas Niesler

In this work, we explore recurrent neural network architectures for tuberculosis (TB) cough classification. In contrast to previous unsuccessful attempts to implement deep architectures in this domain, we show that a bas…

Cough Classification feature selection Style Transfer

Automatic Tuberculosis and COVID-19 cough classification using deep learning

2022-05-11 · Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren 외

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 respiratory diseases, contagious, have cough a…

Audio Classification Classification Cough Classification Deep Learning+1

An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification

2021-10-01 · Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman

The objectives of this research are analysing the performance of the state-of-the-art machine learning techniques for classifying COVID-19 from cough sound and identifying the model(s) that consistently perform well acro…

BIG-bench Machine Learning Cough Classification Decision Making Specificity

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

2021-05-17 · Hao Xue, Flora D. Salim

The usage of smartphone-collected respiratory sound, trained with deep learning models, for detecting and classifying COVID-19 becomes popular recently. It removes the need for in-person testing procedures especially for…

Classification Cough Classification Diagnostic Self-Supervised Learning

Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment

2021-03-23 · Madhurananda Pahar, Marisa Klopper, Byron Reeve, Grant Theron 외

Objective: The automatic discrimination between the coughing sounds produced by patients with tuberculosis (TB) and those produced by patients with other lung ailments. Approach: We present experiments based on a dataset…

Cough Classification feature selection General Classification Sensitivity+1

COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings

2020-12-02 · Madhurananda Pahar, Marisa Klopper, Robin Warren, Thomas Niesler

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 smartphone. This type of screening is non-contact…

Audio Classification BIG-bench Machine Learning Cough Classification General Classification