In this paper, we present a comprehensive analysis of Acoustic Scene Classification (ASC),
the task of identifying the scene of an audio recording from its acoustic signature. In …

In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …

In this paper, we present a robust and low complexity model for Acoustic Scene
Classification (ASC), the task of identifying the scene of an audio recording. We firstly …

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 …

Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

This article proposes an encoder-decoder network model for Acoustic Scene Classification
(ASC), the task of identifying the scene of an audio recording from its acoustic signature. We …

This technical report is for the Task 1A Acoustic scene classification of the IEEE AASP
Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE). In this …

Abstract Acoustic Scene Classification (ASC) aims to categorize real-world audio into one of
the predetermined classes that identifies the recording environment of the audio. State-of …

Acoustic scene classification (ASC) and acoustic event detection (AED) are different but
related tasks. Acoustic events can provide useful information for recognizing acoustic …

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 …