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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書目詳細資料

Principais autores:	Hye-jin Shim, Jee-weon Jung, Ju-ho Kim, Ha-jin Yu
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2021-09-01
叢編:	Applied Sciences
主題:	acoustic scene classification light convolutional neural networks deep neural networks
在線閱讀:	https://www.mdpi.com/2076-3417/11/18/8361
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