Abstract: Analyzing lung sound helps in identifying the associated pathological condition. Auscultation is the common tool used for categorizing the lung sounds. Computer based analysis of lung sounds ...

This project introduces a custom Convolutional Neural Network (CNN) model to classify lung sounds associated with various respiratory disorders. The core idea is to convert lung sound audio recordings ...

Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time–frequency structure of ...

🚀 New Deep Learning Project Released! 🎧📊 I'm excited to share my latest project: 🧠 Spectrogram CNN Classifier — a deep learning pipeline for classifying physiological audio signals (like heart ...

Over the past few decades, animal sounds have seen a huge surge in research. Advances in recording equipment and analysis techniques have driven new insights into animal behaviour, population ...