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 1 | 🎵 Urban-Sound-Classification-with-UrbanSound8K-Dataset 🔊🤖
 2 | 
 3 | Urban-Sound-Classification-with-UrbanSound8K-Dataset is a deep learning project that classifies urban sound events (sirens, drilling, dog barks, street music, etc.) using the UrbanSound8K dataset. It demonstrates how audio signal processing + neural networks can power sound recognition systems for smart cities, surveillance, and real-time monitoring.
 4 | 
 5 | ✨ Key Features
 6 | 
 7 | 🎧 Dataset: Uses the UrbanSound8K dataset with 8,732 labeled audio samples across 10 classes
 8 | 
 9 | 🔊 Audio Preprocessing: MFCCs, Mel-Spectrograms, Chroma features, Feature scaling
10 | 
11 | 🧠 Deep Learning Models: CNN, RNN, LSTM for sound event classification
12 | 
13 | 📊 Model Evaluation: Accuracy, F1-score, Confusion Matrix, ROC-AUC
14 | 
15 | 🖼️ Visualization: Spectrogram plots & feature distribution analysis
16 | 
17 | ⚡ Real-Time Prediction (Optional): Test with microphone input or uploaded audio files
18 | 
19 | 🌐 Deployment: Streamlit / Flask app for live sound classification
20 | 
21 | 🧰 Tech Stack
22 | 
23 | Programming: Python 🐍
24 | 
25 | Libraries: Librosa, NumPy, Pandas, Matplotlib, Seaborn
26 | 
27 | Deep Learning: TensorFlow / Keras, PyTorch
28 | 
29 | Deployment (Optional): Streamlit / Flask
30 | 
31 | 📁 Project Structure
32 | 📁 data/            # UrbanSound8K dataset
33 | 📁 notebooks/       # Jupyter notebooks for preprocessing & experiments
34 | 📁 src/             # Training & evaluation scripts
35 | 📁 models/          # Trained models
36 | 📁 results/         # Metrics, confusion matrices, plots
37 | 📁 app/             # (Optional) Web app for live sound classification
38 | 
39 | 🚀 Getting Started
40 | git clone https://github.com/yourusername/Urban-Sound-Classification-with-UrbanSound8K-Dataset.git
41 | cd Urban-Sound-Classification-with-UrbanSound8K-Dataset
42 | pip install -r requirements.txt
43 | jupyter notebook
44 | 
45 | 📌 Use Cases
46 | 
47 | 🌆 Smart Cities: Noise monitoring & urban soundscape analysis
48 | 
49 | 🚨 Surveillance & Security: Detect alarms, sirens, and unusual sounds
50 | 
51 | 🏥 Healthcare: Assistive devices for the hearing impaired
52 | 
53 | 🎓 Education: Learn audio signal processing & deep learning fundamentals
54 | 
55 | 🤝 Contributing
56 | 
57 | Contributions are welcome! Improve preprocessing, add new models, or enhance deployment and submit a PR.
58 | 
59 | 📜 License
60 | 
61 | MIT License – Free for research, education, and personal use.
62 | 


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