🎶 Environmental Sound Classifier

📖 Project Overview

This project aims to classify environmental sounds into one of 10 categories. Whether it’s the sound of a dog barking 🐕, a car horn blaring 🚗📢, or even the rhythmic hum of a jackhammer 🚧🔨, our model is here to figure it all out!

🎯 Features:

Dataset: The famous UrbanSound8k 📊🔊

• 8,732 labeled sound excerpts (each ≤ 4 seconds)
• 10 classes:
• ❄️ air_conditioner
• 🚨 car_horn
• 👶 children_playing
• 🐕 dog_bark
• 🛠 drilling
• 🚗 engine_idling
• 🔫 gun_shot
• ⚒ jackhammer
• 🚑 siren
• 🎶 street_music

🔍 How It Works:

We built a hand-designed CNN 🧠 with a fraction of the parameters used in larger models like ResNet18 but still packs quite the punch! 💥

• Feature Extraction: 🎛 The CNN helps pull meaningful features out of the sound clips.
• Classification: 🏷 Using a few linear layers, the model classifies the sound into one of the 10 categories. Boom! 🎤

🏋️‍♀️ Model Strengths:

• Efficient 🏎: Designed with far fewer parameters than ResNet18.
• Lightweight 🎈: Smaller model = Faster predictions!
• Trained on a high-quality urban sound dataset. 🌆🎧

🛠 How to Use

• Clone the repo: git clone https://github.com/yourname/sound-classifier.git 👨‍💻
• Install dependencies: pip install -r requirements.txt 🛠
• Run the training script: python train.py 💪
• Classify some sounds! 🔊

🚀 Future Plans

• 🔄 Fine-tune the model for improved accuracy.
• 🎶 Add more sound classes.
• 🌍 Train on a larger dataset for world domination! (Just kidding… or are we? 😏)

Feel free to contribute, test, or even just play around with the code. Let’s make some noise! 🎉