https://github.com/drkbluescience/urbansoundsclassification
Urban Sound Classification using CNN
https://github.com/drkbluescience/urbansoundsclassification
Last synced: 8 months ago
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Urban Sound Classification using CNN
- Host: GitHub
- URL: https://github.com/drkbluescience/urbansoundsclassification
- Owner: drkbluescience
- Created: 2022-10-05T19:33:55.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-11-03T09:51:46.000Z (over 1 year ago)
- Last Synced: 2025-01-14T11:33:12.357Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 232 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Urban Sounds Classification
The preprocessing phase involved creating spectrograms from audio files using **Librosa** and preprocessing images with **OpenCV**. A **TensorFlow CNN** model was utilized, with hyperparameter optimization applied to achieve over 90% accuracy in classifying urban sounds. The dataset used for this project can be accessed [here]([insert_your_data_link_here](https://urbansounddataset.weebly.com/urbansound8k.html)).
### Certification Achievement
Successfully completed the **Urban Sound Classification** project using CNN, prepared by teammates in **Group 32**. This project was developed for the **Deep Learning Bootcamp** organized by **Global AI Hub**, sponsored by **Koç Holding** and **Aygaz**.