This repository contains a deep learning-based audio classification project using Convolutional Neural Networks (CNNs). The model processes audio signals, extracts relevant features like spectrograms classifies them into predefined categories. Which will be used to detect threats in the forest such as gunshots, vehicle movement, wood cutting.

Closed-Set SDI Using log-Mel Spectrograms from Videos (IEEE Access)

Deep Learning Methods for Environmental Audio Classification