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Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes by Turpault, Nicolas; Serizel, Romain; Wisdom, Scott; Erdogan, Hakan; Hershey, John; Fonseca, Eduardo; Seetharaman, Prem; Salamon, Justin is a scholarly article available to read on EtoBox.

What is Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes about?

We propose a benchmark of state-of-the-art sound event detection systems (SED). We designed synthetic evaluation sets to focus on specific sound event detection challenges. We analyze the performance of the submissions to DCASE 2021 task 4 depending on time related modifications (time position of an event and length of clips) and we study the impact of non-target sound events and reverberation. We show that the localization in time of sound events is still a problem for SED systems. We also show that reverberation and non-target sound events are severely degrading the performance of the SED systems. In the latter case, sound separation seems like a promising solution.

Author

Turpault, Nicolas; Serizel, Romain; Wisdom, Scott; Erdogan, Hakan; Hershey, John; Fonseca, Eduardo; Seetharaman, Prem; Salamon, Justin

Published

2020

Language

EN