Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)
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Updated
Mar 11, 2025 - Python
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)
Implementation of IEEE Access paper - Lung Sound Recognition Algorithm Based on VGGish-BiGRU
[ICASSP 2024] Multi-View Spectrogram Transformer for Respiratory Sound Classification
RespireNet is an innovative web-based application that harnesses the capabilities of deep learning and Mel-frequency cepstral coefficients (MFCC) as a feature extraction technique for accurate respiratory disease prediction. The primary objective of this user-friendly web application is to facilitate early detection.
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds (IEEE TIM-2024)
VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification (IEEE MeMeA-2024)
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds (INTERSPEECH 2024)
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds (IEEE SPCOM-2024)
Respiratory Sound Dataset is a refined collection of respiratory sound recordings sourced from Kaggle, designed for machine learning applications focused on detecting lung conditions such as wheezes and crackles. The dataset includes high-quality audio files, annotations, and metadata, making it suitable for research in respiratory health.
COPD severity grading using lung sounds and machine learning
Signal processing project repo
Code accompanying ESANN 2025 submission "Exploring Model Architectures for Real-Time Lung Sound Event Detection". Dataset used was ICBHI 2017.
Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds (IEEE TIM-2024)
A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds (IEEE TASLP-2024)
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