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The impact of non-target events in synthetic soundscapes for sound event detection

Abstract : Detection and Classification Acoustic Scene and Events Challenge 2021 Task 4 uses a heterogeneous dataset that includes both recorded and synthetic soundscapes. Until recently only target sound events were considered when synthesizing the soundscapes. However, recorded soundscapes often contain a substantial amount of non-target events that may affect the performance. In this paper, we focus on the impact of these non-target events in the synthetic soundscapes. Firstly, we investigate to what extent using non-target events alternatively during the training or validation phase (or none of them) helps the system to correctly detect target events. Secondly, we analyze to what extend adjusting the signal-to-noise ratio between target and non-target events at training improves the sound event detection performance. The results show that using both target and non-target events for only one of the phases (validation or training) helps the system to properly detect sound events, outperforming the baseline (which uses non-target events in both phases). The paper also reports the results of a preliminary study on evaluating the system on clips that contain only non-target events. This opens questions for future work on non-target subset and acoustic similarity between target and non-target events which might confuse the system.
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https://hal.inria.fr/hal-03355184
Contributor : Francesca Ronchini Connect in order to contact the contributor
Submitted on : Monday, September 27, 2021 - 11:08:40 AM
Last modification on : Thursday, May 5, 2022 - 10:07:13 AM
Long-term archiving on: : Tuesday, December 28, 2021 - 6:21:39 PM

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  • HAL Id : hal-03355184, version 1

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Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell. The impact of non-target events in synthetic soundscapes for sound event detection. DCASE 2021 - Detection and Classification of Acoustic Scenes and Events, Nov 2021, Barcelona/Virtual, Spain. ⟨hal-03355184⟩

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