End-to-End Network Based on Transformer for Automatic Detection of Covid-19

Author:

Cai Cong1,Liu Bin1,Tao Jianhua1,Tian Zhengkun1,Lu Jiahao1,Wang Kexin1

Affiliation:

1. CAS,National Laboratory of Pattern Recognition, Institute of Automation,Beijing,China

Funder

National Laboratory of Pattern Recognition

National Natural Science Foundation of China

Publisher

IEEE

Reference21 articles.

1. The brogrammers dicova 2021 challenge system report;mahanta;Tech Rep Tech Rep,0

2. TDCA-Net: Time-Domain Channel Attention Network for Depression Detection

3. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;bai,2018

4. Evaluating the covid-19 identification resnet (cider) on the interspeech covid-19 from audio challenges;akman,2021

5. Attention is all you need;vaswani;NIPS,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. An Epidemic Trend Prediction Model with Multi-source Auxiliary Data;Lecture Notes in Computer Science;2024

2. VGGish-BiLSTM-Attention for COVID-19 Identification Using Cough Sound Analysis;2023 8th International Conference on Signal and Image Processing (ICSIP);2023-07-08

3. Machine learning approach for detecting Covid-19 from speech signal using Mel frequency magnitude coefficient;Signal, Image and Video Processing;2023-03-25

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