MulahTeni / UrbanSound-Classification

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Urban Sound Classification

Data

All data have been obtained from UrbanSound8K dataset.

Preprocessing

The audio files were first converted into spectrograms. Then, these spectrograms were transformed into images.

These images were converted to grayscale and resized to 128x128 pixels.

Model Architecture

The model design is based on the simple CNN model found on the TensorFlow tutorial for image CNNs.

Training

Training Steps

Training

Model Results

Training

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