The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …

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 …

With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …

Neuro-symbolic reasoning approaches proposed in recent years combine a neural
perception component with a symbolic reasoning component to solve a downstream task. By …

There are lots of research papers for ASC, and in recent years it is rapidly increasing.
DCASE also provides different types of competition for the submission of several papers to …

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

Radio frequency distinct native attribute (RF-DNA) technology is very important in
distinguishing RF devices. This paper presents a new method for distinguishing RF devices …

Today's low-cost automotive ultrasonic sensors perform distance measurements of
obstacles within the close range of vehicles. For future parking assist systems and …

Biodiversity monitoring has become a critical task for governments and ecological research
agencies for reducing significant loss of animal species. Existing monitoring methods are …

In this work Gammatone (GT) filter bank energy features are used with a deep neural
network (GT-DNN) to model robust acoustic event detection (AED) in the smart home …