Modeling Quasi-Periodic Dependency via Self-Supervised Pre-Training for Respiratory Sound Classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modeling Quasi-Periodic Dependency via Self-Supervised Pre-Training for Respiratory Sound Classification

Published:2024-04-14 Issue: Volume: Page:1996-2000
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
Short-container-title:

Author:

Song Wenjie¹,Han Jiqing¹,Li Jianchen¹,Zheng Guibin¹,Zheng Tieran¹,He Yongjun¹

Affiliation:

1. Harbin Institute of Technology,School of Computer Science and Technology,Harbin,PRC

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447972.pdf?arnumber=10447972

Reference23 articles.

1. Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning

2. Contrastive Embeddind Learning Method for Respiratory Sound Classification

3. Prototype Learning for Interpretable Respiratory Sound Analysis

4. Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network

5. Self-supervised learning in medicine and healthcare

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP