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Foundations of AI (65) Artificial Intelligence (2332) Clinical Information and Decision Making (2065) New Methods (1179) Machine Learning (2223) Tools, Programs and Algorithms (407) mHealth for Data Collection and Research (1258) Respiratory Medicine (169) Spatial Audio in XR and Spatial Computing (1)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67239, first published .
Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Authors of this article:

Jing-Tong Tzeng1 Author Orcid Image ;   Jeng-Lin Li2 Author Orcid Image ;   Huan-Yu Chen2 Author Orcid Image ;   Chun-Hsiang Huang3 Author Orcid Image ;   Chi-Hsin Chen3 Author Orcid Image ;   Cheng-Yi Fan3 Author Orcid Image ;   Edward Pei-Chuan Huang3, 4 Author Orcid Image ;   Chi-Chun Lee1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. López-Canay J, Ramos-Hernández C, Casal-Guisande M, Botana-Rial M, Leiro-Fernández V, Fernández-Villar A. Design and Development of an Intelligent System Applied to the Interpretation of Lung Auscultation. IEEE Access 2025;13:176245 View
  2. Türe H, Aygün E. Solunum Sesi Sınıflandırması için Klasik ve Derin Öğrenme Modellerinin Karşılaştırılması. Karadeniz Fen Bilimleri Dergisi 2025;15(4):1668 View
  3. Thapa R, Paudyal V, Sharma M, Ratnani I, Surani S. Artificial intelligence advancement in addressing cough. World Journal of Clinical Cases 2026;14(7) View
  4. McCofie A, Goldgof D, Hausmann J, Mouton P, Sun Y, Hossain M. A Review of Deep Learning Model Approach for Pain Assessment in Infant Cry Sounds. Machine Learning and Knowledge Extraction 2026;8(3):76 View

Conference Proceedings

  1. Fatema K, Habib M. 2025 7th International Conference on Electrical Information and Communication Technology (EICT). Weighted Cross-Entropy Loss Based Respiratory Diseases Classification View
  2. Hirata K, Suzuki S, Kobayashi Y. 2025 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). Effects of Electronic Noise on Environmental Sound Classification Using Convolutional Neural Network with Bispectrograms and Its Improvement View
  3. Karfidova V, Yuldashev Z. 2026 ElCon Conference of Young Researchers in Communication and Networking, Signal Processing & Analysis, Biomedical and Environmental Engineering (ElCon-CN). Software Package for Diagnosing Lung Diseases Based on Breathing Spectra View
  4. Shiri G, Bahrami H, Fallahi A. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME). Comparative Analysis of Time-Frequency Representations for Pediatric Respiratory Sound Classification Using Deep Learning View
  5. Li H, Feng W, Zhao L, Gu F. 2025 6th International Conference on Computers and Artificial Intelligence Technology (CAIT). Respiratory Disease Classification Using Audio Data: A Multi-Model Machine Learning Approach View
  6. Sengdonprai P, Likhithattasilp T, Aueawatthanaphisut A. 2026 18th International Conference on Knowledge and Smart Technology (KST). BreathSpectrogram-X: An AI-Based Spectral Analysis Framework for Influenza and Common Cold Cough Detection View