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SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform

ICML 2021 · Detection and segmentation › CNN features · approach: Spiking event-camera detection · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
treat events as complete instances using dense event proposals and joint temporal-spatial headsSoundDet · DCASE SELD test, FOAmAP: 0.134 -> 0.197Helped
treat events as complete instances using dense event proposals and joint temporal-spatial headsSoundDet · DCASE SELD test, FOAmAR: 0.256 -> 0.294Helped
add motion smoothness map (ablation)SoundDet · DCASE SELD test, FOAmAP: 0.117 -> 0.197Helped
add motion smoothness map (ablation)SoundDet · DCASE SELD test, FOAmAR: 0.247 -> 0.294Helped
add MaxCorr filter bank (ablation)SoundDet backbone · DCASE SELD test, FOAF20°: 0.05 -> 0.38Helped
add MaxCorr filter bank (ablation)SoundDet backbone · DCASE SELD test, FOAmAP: 0.025 -> 0.040Helped
add dense event proposal and temporal recovery heads to the backbone (ablation)SoundDet · DCASE SELD test, FOAmAP: 0.040 -> 0.197Helped
add dense event proposal and temporal recovery heads to the backbone (ablation)SoundDet · DCASE SELD test, FOAmAR: 0.096 -> 0.294Helped
use complete-event detection instead of framewise segment predictionsSoundDet · DCASE SELD test, FOA, AllF20°: 0.82 -> 0.81No clear effect
use raw waveform with learned MaxCorr filters rather than hand-crafted input featuresSoundDet backbone · DCASE SELD testinference time: 1.20~s -> 1.25~sNo clear effect

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