This work proposes a deep learning framework applied for Acoustic Scene Classification
(ASC), targeting DCASE2019 task 1A. In general, the front-end process shows a …

In this paper, we presents a low-complexity deep learning frameworks for acoustic scene
classification (ASC). The proposed framework can be separated into three main steps: Front …

We use deep convolutional neural network via transfer learning for Acoustic Scene
Classification (ASC). For this purpose, a powerful and popular deep learning architecture …

We propose a convolutional neural network (CNN) model based on an attention pooling
method to classify ten different acoustic scenes, participating in the acoustic scene …

This technical report describes the Task 1-Subtask A (Acoustic Scene Classification, ASC) of
the DCASE 2019 challenge whose goal is to classify a test audio recording into one of the …

In this study, we dealt with the acoustic scene classification (ASC) task in the Detection and
Classification of Acoustic Scenes and Events (DCASE)-2019 challenge Task 1A. Single …

Acoustic scene classification contains frequently misclassified pairs of classes that share
many common acoustic properties. Specific details can provide vital clues for distinguishing …

Acoustic scene classification is a challenging task in machine learning with limited data sets.
In this report, several different spectrograms are applied to classify the acoustic scenes …

This report describes our two submissions to the DCASE-2017 challenge for Task 1
(Acoustic scene classification). The first submission is motivated by the superior …

In this study, we present a solution for the acoustic scene classification task1A in the DCASE
2019 Challenge. Our model uses a convolutional neural network and makes some …