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About Environmental Sound Classificationwith Convolutional Neural Networks
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.
Detailed Information
| Author: | ['amine hamdi'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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