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 acoustic event detection, the training data size of some acoustic events is often small and
imbalanced. To deal with this, this paper proposes generating the virtual training data …

The variety of event categories and event boundary information have resulted in limited
success for acoustic event detection systems. To deal with this, we propose to utilize the …

Recently, neural network-based deep learning methods have been popularly applied to
computer vision, speech signal processing and other pattern recognition areas. Remarkable …

The task of identification of sound events in a particular surrounding is known as Sound
Event Detection (SED) or Acoustic Event Detection (AED). The occurrence of sound events …

Acoustic event detection deals with the acoustic signals to determine the sound type and to
estimate the audio event boundaries. Multi-label classification based approaches are …

Automatic gunshot detection technology allows incidence response system to counteract the
potential of crimes. However, the surveillance systems suffer from various detection …

声音事件检测技术能够识别出一个音频段中存在的事件类别并标注出各事件的起止时间,
在智能城市, 医疗监控, 野生动物保护等应用场景有巨大潜力, 是机器听觉领域的一个重要研究 …

The primary objective of a Sound Event Detection (SED) system is to detect the prescene of
an acoustic event (ie, audio tagging) and to return the onset and offset of the identified …

Sound Event Detection (SED) is a critical subject in machine listening that aims to mimic the
capacity of the human auditory system. Recently, convolutional recurrent neural networks …