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 …

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 …

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 …

We apply post-processing to the class probability distribution outputs of audio event
classification models and employ reinforcement learning to jointly discover the optimal …

Acoustic event detection, the determination of the acoustic event type and the localisation of
the event, has been widely applied in many real-world applications. Many works adopt the …

Sound event detection (SED) aims at identifying sound events (audio tagging task) in
recordings and then locating them temporally (segmentation task). This last task ends with …

Zimmerman, LLC (57) ABSTRACT Techniques are provided for acoustic event detection. A
methodology implementing the techniques according to an embodiment includes extracting …

Polyphonic Acoustic Event Detection (AED) is a challenging task as the sounds are mixed
with the signals from different events, and the features extracted from the mixture do not …