Sound source classification for soundscape analysis using fast third-octave bands data from an urban acoustic sensor network

The exploration of the soundscape relies strongly on the characterization of the sound sources in the sound environment. Novel sound source classifiers, called pre-trained audio neural networks (PANNs), are capable of predicting the presence of more than 500 diverse sound sources. Nevertheless, PANN...

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Veröffentlicht in:	The Journal of the Acoustical Society of America 2024-07, Vol.156 (1), p.416-427
Hauptverfasser:	Tailleur, Modan, Aumond, Pierre, Lagrange, Mathieu, Tourre, Vincent
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Computer Science Engineering Sciences Neural and Evolutionary Computing
Online-Zugang:	Volltext
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