Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments-Reference-Cited by-同舟云学术

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Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments

Published:2023-12-04 Issue: Volume: Page:140-146
ISSN:
Container-title:2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)
language:
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Author:

Huq Saiful¹,Xi Pengcheng²,Goubran Rafik³,Knoefel Frank⁴,Green James R¹

Affiliation:

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

2. National Research Council Canada; Carleton University,Ottawa,Canada

3. Carleton University; Bruyère Research Institute,Systems and Computer Engineering,Ottawa,Canada

4. Bruyère Research Institute, Elisabeth Bruyère Hospital; Systems and Computer Engineering, Carleton University,Ottawa,Canada

Funder

University of Ottawa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10431814/10431802/10431842.pdf?arnumber=10431842

Reference31 articles.

1. Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification

2. ‘Dry’ and ‘wet’ cough: how reliable is parental reporting?

3. Can Machine Learning Be Used to Recognize and Diagnose Coughs?

4. Delivering home healthcare through a Cloud-based Smart Home Environment (CoSHE)

Cited by 1 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. Real-time Audio Recognition for Hearing Impaired;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

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