Cough Classification Using Audio Spectrogram Transformer-Reference-Cited by-同舟云学术

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Cough Classification Using Audio Spectrogram Transformer

Published:2022-08-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Sensors Applications Symposium (SAS)
language:
Short-container-title:

Author:

Habashy Karim¹,Valdes Julio¹,Cohen-McFarlane Madison²,Xi Pengcheng¹,Wallace Bruce³,Goubran Rafik⁴,Knoefel Frank⁵

Affiliation:

1. National Research Council Canada,Digital Technologies,Ottawa,Canada

2. Carleton University,Systems and Computer Engineering,Ottawa,Canada

3. Carleton University,Bruyère Research Institute SAM3 Innovation Hub,Ottawa,Canada

4. Carleton University,Bruyère Research Institute,Ottawa,Canada

5. University of Ottawa,Bruyère Research Institute Faculty of Medicine,Ottawa,Canada

Funder

National Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9881325/9881241/09881344.pdf?arnumber=9881344

Reference29 articles.

1. Challenges with Audio Classification using Image Based Approaches for Health Measurement Applications

2. Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization

3. The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

4. COVID-19 detection from audio: seven grains of salt

5. Attention is all you need;vaswani,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cough Sound Analysis using Vocal Tract Models;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

2. Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification;2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2023-06-14

3. Cough Classification with Deep Derived Features using Audio Spectrogram Transformer;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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