The recognition of pig cough sound is a prerequisite for early warning of respiratory
diseases in pig houses, which is essential for detecting animal welfare and predicting …

Fusion strategies that utilize time-frequency features have achieved superior performance in
acoustic scene classification tasks. However, the existing fusion schemes are mainly …

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 present deep learning frameworks for audio-visual scene classification
(SC) and indicate how individual visual, audio features as well as their combination affect …

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 the task of audio-visual scene classification (SC) where input
videos are classified into one of five real-life crowded scenes:'Riot','Noise-Street','Firework …

Abstract Audio-Visual Scene Classification (AVSC) task tries to achieve scene classification
through joint analysis of the audio and video modalities. Most of the existing AVSC models …

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 …

In acoustic scene classification (ASC) task, an acoustic scene consists of diverse attributes
and is inferred by identifying combinations of some distinct attributes among them. This …

For audio classification tasks, one has access to the recordings from only a few microphones
while the system could be deployed for a wider range of microphones. This paper discusses …