Impact Evaluation of Sound Dataset Augmentation and Synthetic Generation upon Classification Accuracy
We investigate the impact of dataset augmentation and synthetic generation techniques on the accuracy of supervised audio classification based on state-of-the-art neural networks used as classifiers. Dataset augmentation techniques are applied upon the raw sound and its transformed image format. Spe...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2025-09-01
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| Schriftenreihe: | Journal of Sensor and Actuator Networks |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2224-2708/14/5/91 |
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