Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes
Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Abstract
We propose a benchmark of state-of-the-art sound event detection systems (SED). We design synthetic evaluation sets to focus on specific sound event detection challenges. We analyze the performance of the submissions to DCASE 2020 Task 4 as a function of time-related modifications (time position of an event and length of clips) and study the impact of non-target sound events and reverberation. We show that temporal localization of sound events remains a challenge for SED systems. We also show that reverberation and non-target sound events severely degrade system performance. In the latter case, sound separation seems like a promising solution.
BibTeX
@inproceedings{icassp2021_soundeventdetect,
title = {Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes},
author = {Nicolas Turpault and Romain Serizel and Scott Wisdom and Hakan Erdogan and John R. Hershey and Eduardo Fonseca and Prem Seetharaman and Justin Salamon},
booktitle = {ICASSP 2021},
year = {2021}
}