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Audeo: Audio Generation for a Silent Performance Video

NeurIPS 2020 · Video › Video generation · approach: Video-to-audio synthesis · 31 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Refine Video2Roll predictions with Roll2Midi NetAudeo · Midi Evaluation SetF1-score (%): 56.4 -> 61.5Helped
Use threshold 0.5 instead of 0.4 for Roll2Midi Net (ablation)Roll2Midi Net · Midi Evaluation SetF1-score (%): 61.5 -> 60.4Hurt
Use threshold 0.5 instead of 0.4 for Roll2Midi Net (ablation)Roll2Midi Net · Midi Evaluation Setprecision (%): 60.0 -> 65.1Helped
Use threshold 0.5 instead of 0.4 for Roll2Midi Net (ablation)Roll2Midi Net · Midi Evaluation Setrecall (%): 77.0 -> 69.9Hurt
Use threshold 0.5 instead of 0.4 for Roll2Midi Net (ablation)Roll2Midi Net · Midi Evaluation Setaccuracy (%): 50.6 -> 50.8Helped
Synthesize refined Midi with FluidSynth rather than PerfNet (ablation)Audeo · Audio Evaluation Set (Total)SoundHound detection rate (%): 73.0 -> 73.9Helped
Use refined Midi rather than raw Roll as the synthesis input (ablation)Audeo with FluidSynth · Audio Evaluation Set (Total)SoundHound detection rate (%): 62.6 -> 73.9Helped
Use refined Midi rather than ResNet output as the synthesis inputAudeo with FluidSynth · Audio Evaluation Set (Total)SoundHound detection rate (%): 55.9 -> 73.9Helped
Synthesize refined Midi with FluidSynth rather than PerfNet (ablation)Audeo · Bach WTC B2 & OtherSoundHound detection rate (%): 71.6 -> 72.4Helped
Synthesize refined Midi with FluidSynth rather than PerfNet (ablation)Audeo · Bach WTC B1 VariantsSoundHound detection rate (%): 80.6 -> 85.6Helped

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