Can I read USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios on EtoBox?

USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios by Abeßer, Jakob is a scholarly article available to read on EtoBox.

What is USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios about?

This paper introduces a novel dataset for polyphonic sound event detection in urban sound monitoring use-cases. Based on isolated sounds taken from the FSD50k dataset, 20,000 polyphonic soundscapes are synthesized with sounds being randomly positioned in the stereo panorama using different loudness levels. The paper gives a detailed discussion of possible application scenarios, explains the dataset generation process in detail, and discusses current limitations of the proposed USM-SED dataset.

Author

Abeßer, Jakob

Published

2021

Language

EN