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icbhi-2017

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MelkiMeriem / ICBHI-Respiratory-Sound-Classification

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Automated respiratory sound classification using CRNN and EfficientNet-B0 (Transfer Learning) architectures on the ICBHI 2017 dataset.

deep-learning spectrogram transfer-learning audio-classification audio-processing crnn efficientnet transfer-learning-with-cnn medical-ai respiratory-sounds lung-sound-classification lung-sound icbhi17 icbhi-score respiratory-sound-classification icbhi icbhi-2017
  • Updated May 31, 2026
  • Jupyter Notebook

PSaanviBhat / Lung-Sound-Analysis-and-Respiratory-Disease-Classification-using-Deep-Learning

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Automated lung sound analysis and respiratory disease classification using deep learning. Features a multi-branch audio pipeline extracting Mel Spectrogram, Constant-Q Transform (CQT), and Continuous Wavelet Transform (CWT) features for spatio-temporal classification on the ICBHI 2017 dataset.

machine-learning deep-learning signal-processing pytorch audio-classification wavelet-transform cnn-lstm constant-q-transform feature-fusion biomedical-signal-processing respiratory-disease audio-preprocessing icbhi-2017 lung-sound-analysis
  • Updated Jun 22, 2026
  • Python

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