The automatic recognition of sound events by computers is an important aspect of emerging
applications such as automated surveillance, machine hearing and auditory scene …

In this paper, a novel approach to video temporal decomposition into semantic units, termed
scenes, is presented. In contrast to previous temporal segmentation approaches that employ …

Automatic sound recognition (ASR) is a remarkable field of research in recent years. The
ability to automatically recognize sound events through computers in a complex audio …

The joint analysis of audio and video is a powerful tool that can be applied to various
contexts, including action, speech, and sound recognition, audio-visual video parsing …

The complexity of polyphonic sounds imposes numerous challenges on their classification.
Especially in real life, polyphonic sound events have discontinuity and unstable time …

Automatic sound event recognition (SER) has recently attracted renewed interest. Although
practical SER system has many useful applications in everyday life, SER is challenging …

Sound event detection has recently become a hot topic in the sound process while
discontinuous and overlapping sound events still pose challenges for sound event …

The recognition and classification are important to the research contents like underwater
acoustic signal processing. Generally, the state-of-the-art signal recognition systems depend …

Automatic sound recognition (ASR) is a prominently emerging research area in recent years
Recognition of sound events automatically through the computers in the complex audio …

Given the exponential growth of videos published on the Internet, mechanisms for clustering,
searching, and browsing large numbers of videos have become a major research area …