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 …

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 …

Various attention mechanisms are being widely applied to acoustic scene classification.
However, we empirically found that the attention mechanism can excessively discard …

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 …

We present a work on low-complexity acoustic scene classification (ASC) with multiple
devices, namely the subtask A of Task 1 of the DCASE2021 challenge. This subtask focuses …

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 …

Recently, a mismatch in acoustic conditions such as a temporal recording gap as well as
different recording devices for the development and the evaluation data has been …

Acoustic scene classification can provide important information to many applications by
identifying the location and environment in which a given audio signal was recorded …

Convolutional networks have achieved the state-of-the-art performance on Acoustic Scene
Classification (ASC). Given the Log Mel-Spectrogram of an audio sample, the network can …

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 …