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USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios

2021-05-06 11:45:47
Jakob Abeßer
arXiv_SD
     
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2105.02592

PDF

https://arxiv.org/pdf/2105.02592.pdf

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