Capturing Discriminative Information Using a Deep Architecture in Acoustic Scene Classification

Acoustic scene classification contains frequently misclassified pairs of classes that share many common acoustic properties. Specific details can provide vital clues for distinguishing such pairs of classes. However, these details are generally not noticeable and are hard to generalize for different...

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Detalles Bibliográficos

Principais autores:	Hye-jin Shim, Jee-weon Jung, Ju-ho Kim, Ha-jin Yu
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-09-01
Series:	Applied Sciences
Assuntos:	acoustic scene classification light convolutional neural networks deep neural networks
Acceso en liña:	https://www.mdpi.com/2076-3417/11/18/8361
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