Emergency Vehicle Classification Using Combined Temporal and Spectral Audio Features with Machine Learning Algorithms
This study presents a novel approach to emergency vehicle classification that leverages a comprehensive set of informative audio features to distinguish between ambulance sirens, fire truck sirens, and traffic noise. A unique contribution lies in combining time domain features, including root mean s...
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Veröffentlicht in: | Electronics (Basel) 2024-10, Vol.13 (19), p.3873 |
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Format: | Artikel |
Sprache: | eng |
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