In this paper, we describe our contributions to the challenge of detection and classification of
acoustic scenes and events. We propose multi-scale convolutional recurrent neural network …

This paper proposes a sound event detection (SED) method in tunnels to prevent further
uncontrollable accidents. Tunnel accidents are accompanied by crashes and tire skids …

There are multiple sound events simultaneously occuring in a real-life audio recording
collected eg at a busy street in rush hour. The events may include traffic noise, sound of rain …

In this paper, we propose a stacked convolutional and recurrent neural network (CRNN) with
a 3D convolutional neural network (CNN) in the first layer for the multichannel sound event …

The sound event detection method based on deep learning has achieved excellent
performance. However, the training of high-performance sound event detection models …

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 …

Sound events, emanate from several sources, are ubiquitous and manifest them selves with
different characteristics in different environments. With the advancement of deep learning …

Recent advances in embedded system technology have created opportunities for alleviating
or eliminating common Big Data problems, by providing the resources necessary to perform …

In this technical report, we propose a sound event detection system using a residual network
(ResNet) with a self-mask module for a task 4 of detection and classification of acoustic …

In the last decade, Anomalous Sound Detection (ASD) is becoming an increasingly
challenging task for a plethora of applications due to the widespread diffusion of Deep …