aqibsaeed/Urban-Sound-Classification
Urban sound classification using Deep Learning
Compares three neural network architectures (feedforward, convolutional, and recurrent) for audio classification on the UrbanSound8k dataset. Leverages spectrogram-based feature extraction with Librosa and TensorFlow 2.x for training models on diverse urban sound categories. Includes Jupyter notebooks with accompanying blog posts documenting the implementation approach for each model variant.
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Jupyter Notebook
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Sep 12, 2022
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