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arXiv · 2011.00801

Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes

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

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.

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Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon. 2020-11-02. Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. https://arxiv.org/abs/2011.00801

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