Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

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

DCASE 2017 Challenge consists of four tasks: acoustic scene classification, detection of
rare sound events, sound event detection in real-life audio, and large-scale weakly …

We introduce TUT Acoustic Scenes 2016 database for environmental sound research,
consisting of binaural recordings from 15 different acoustic environments. A subset of this …

Public evaluation campaigns and datasets promote active development in target research
areas, allowing direct comparison of algorithms. The second edition of the challenge on …

The sound of crashing waves, the roar of fast-moving cars–sound conveys important
information about the objects in our surroundings. In this work, we show that ambient sounds …

In this article, we present an account of the state of the art in acoustic scene classification
(ASC), the task of classifying environments from the sounds they produce. Starting from a …

For intelligent systems to make best use of the audio modality, it is important that they can
recognize not just speech and music, which have been researched as specific tasks, but …

Environmental sounds are being used widely in our lives. It is especially used in tasks such
as managing smart cities, location determination, surveillance systems, machine hearing …

We propose a novel method for Acoustic Event Detection (AED). In contrast to speech,
sounds coming from acoustic events may be produced by a wide variety of sources …