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

Acoustic scene classification (ASC) is a crucial research problem in computational auditory
scene analysis, and it aims to recognize the unique acoustic characteristics of an …

Designing lightweight models that require limited computational resources and can operate
on edge devices is a major trajectory in deep learning research. In the context of Acoustic …

Acoustic scene classification (ASC) predominantly relies on supervised approaches.
However, acquiring labeled data for training ASC models is often costly and time …

An acoustic scene is inferred by detecting properties combining diverse sounds and
acoustic environments. This study is intended to discover these properties effectively using …

Soundscapes are a fundamental component of the context of real-world scenarios.
Characterizing them can be a determining factor in detecting risky situations, as they could …

Carbon fiber-reinforced polymer (CFRP) composite laminates generate acoustic emission
signals during the tensile process, which can be used to identify the type of acoustic …

Domain shift is a prevalent issue in acoustic scene classification (ASC) tasks, leading to
reduced classification accuracy in the target domain. This paper tackles the domain shift …

The goal of the acoustic scene classification task is to classify recordings into one of the ten
predefined acoustic scene classes. In this report, we describe the SJTUTHU team's …

The goal of the acoustic scene classification (ASC) task is to classify recordings into one of
the predefined acoustic scene classes. However, in real-world scenarios, ASC systems often …