https://github.com/alphan26/urban-sound-classification
This is a project in which we classified the sound imageries of different kinds of imageries using CNN architecture. This project is done with my two teammates, Serkan Polat and Arda Dumanoğlu throughout the bootcamp which is Global AI Hub.
https://github.com/alphan26/urban-sound-classification
cnn keras python tensorflow
Last synced: 2 months ago
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This is a project in which we classified the sound imageries of different kinds of imageries using CNN architecture. This project is done with my two teammates, Serkan Polat and Arda Dumanoğlu throughout the bootcamp which is Global AI Hub.
- Host: GitHub
- URL: https://github.com/alphan26/urban-sound-classification
- Owner: Alphan26
- Created: 2023-08-18T15:36:33.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-09-07T17:49:35.000Z (almost 2 years ago)
- Last Synced: 2025-04-09T22:41:35.339Z (about 1 year ago)
- Topics: cnn, keras, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 62.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Urban Sound Classification
We developed a classification model using TensorFlow to identify which object corresponds to given audio spectrograms. This project was carried out during a Global AI Hub bootcamp, and I worked on it together with two of my teammates.