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 …

Hierarchical classification has become one of the most popular research topics because the
scale of data has increased exponentially. Top-down hierarchical classification is an …

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 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 …

Hierarchical taxonomies are common in many contexts, and they are a very natural structure
humans use to organise information. In machine learning, the family of methods that use …

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 …

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 …

Clustering analysis of sequence data continues to address many applications in
engineering design, aided with the rapid growth of machine learning in applied science …