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

One of the most amazing functions of the human auditory system is the ability to detect all
kinds of sound events in the environment. With the technologies and hardware advances …

This paper investigates a multi-scale semantic feature fusion and data augmentation
approach for deep convolutional neural network (CNN) based acoustic scene classification …

Convolutional Neural Networks (CNNs) have been widely applied to audio classification
recently where promising results have been obtained. Previous CNN-based systems mostly …

Recent advancements in modeling speech and audio signals using deep neural networks
have shown that systems learning both features and the classifier can be built directly from …

Recent efforts have been made on acoustic scene classification in the audio signal
processing community. In contrast, few studies have been conducted on acoustic scene …

Although acoustic scene classification has been received great attention from researchers in
the field of audio signal processing, it is still a challenging and unsolved task to date. In this …

The task of identification of sound events in a particular surrounding is known as Sound
Event Detection (SED) or Acoustic Event Detection (AED). The occurrence of sound events …

The classification of environmental sound events is of great significance for applications
such as machine hearing and acoustic surveillance. Feature representation and feature …

Automatic estimation of domestic activities from audio can be used to solve many problems,
such as reducing the labor cost for nursing the elderly people. This study focuses on solving …