Despite surveillance systems becoming increasingly ubiquitous in our living environment,
automated surveillance, currently based on video sensory modality and machine …

Acoustic novelty detection aims at identifying abnormal/novel acoustic signals which differ
from the reference/normal data that the system was trained with. In this paper we present a …

Abstract The work presented in this article studies how the context information can be used
in the automatic sound event detection process, and how the detection system can benefit …

Acoustic event and scene analysis has seen extensive development because it is valuable
in applications such as monitoring of elderly people and infants, surveillance, life-logging …

Environmental noise monitoring systems continuously measure sound levels without
assigning these measurements to different noise sources in the acoustic scenes, therefore …

As the construction industry experiences a high rate of casualties and significant economic
loss associated with accidents, safety has always been a primary concern. In response …

One of the main aspects affecting the quality of life of people living in urban and suburban
areas is their continued exposure to high Road Traffic Noise (RTN) levels. Until now, noise …

In the emerging field of acoustic novelty detection, most research efforts are devoted to
probabilistic approaches such as mixture models or state‐space models. Only recent studies …

Sound event detection (SED) and acoustic scene classification (ASC) are major tasks in
environmental sound analysis. Considering that sound events and scenes are closely …

In this paper, we propose to use an ensemble of convolutional neural networks to detect
audio events in the automotive environment. Each of the networks is based on various …