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Environmental Sound Classification Using CNNs by amine hamdi is a document available to read on EtoBox.

What is Environmental Sound Classification Using CNNs about?

1. The document evaluates using convolutional neural networks to classify short audio clips of environmental sounds. 2. It describes a deep model with 2 convolutional layers, max pooling, and 2 fully connected layers trained on spectrograms with deltas of audio data. 3. The model achieves results comparable to state-of-the-art approaches on 3 public environmental sound datasets, outperforming baselines using mel-frequency cepstral coefficients.

Author

amine hamdi

Language

EN