Audio tagging is an active research area and has a wide range of applications. Since the
release of AudioSet, great progress has been made in advancing model performance, which …

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 …

In this paper, we present a gated convolutional neural network and a temporal attention-
based localization method for audio classification, which won the 1st place in the large-scale …

Sound event detection (SED) is a task to detect sound events in an audio recording. One
challenge of the SED task is that many datasets such as the Detection and Classification of …

Convolutional Neural Networks (CNNs) have had great success in many machine vision as
well as machine audition tasks. Many image recognition network architectures have …

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 …

Sound event detection (SED) is the task of tagging the absence or presence of audio events
and their corresponding interval within a given audio clip. While SED can be done using …

Sound event detection (SED) aims to detect when and recognize what sound events happen
in an audio clip. Many supervised SED algorithms rely on strongly labelled data that …

Each edition of the challenge on Detection and Classification of Acoustic Scenes and Events
(DCASE) contained several tasks involving sound event detection in different setups …

Regular inspection of railway track health is crucial for maintaining safe and reliable train
operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts …