Analyzing of audio data, including waveform and spectrogram analysis, silence detection, and data distribution visualization.

This repository contains a Python-based audio classification project using DL. It demonstrates how to preprocess audio data, build a convolutional neural network (CNN) model, train it on the UrbanSound8K dataset, and evaluate its performance. The project focuses on classifying three specific sounds: dog barks, cat meows, and chirping birds.