Sound Event Detection: A Tutorial
Audio and Speech Processing
2021-07-13 v1
Abstract
The goal of automatic sound event detection (SED) methods is to recognize what is happening in an audio signal and when it is happening. In practice, the goal is to recognize at what temporal instances different sounds are active within an audio signal. This paper gives a tutorial presentation of sound event detection, including its definition, signal processing and machine learning approaches, evaluation, and future perspectives.
Keywords
Cite
@article{arxiv.2107.05463,
title = {Sound Event Detection: A Tutorial},
author = {Annamaria Mesaros and Toni Heittola and Tuomas Virtanen and Mark D. Plumbley},
journal= {arXiv preprint arXiv:2107.05463},
year = {2021}
}
Comments
to appear in IEEE Signal Processing Magazine, Volume 38, Issue 5