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SFSRNet: Super-resolution for Single-Channel Audio Source Separation

AAAI 2022 · Architectures and efficiency › RNNs and normalization · approach: Dataset distillation and data-efficient training · 29 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add SFSRNet with dynamic mixingSepFormer + DM · WSJ0-2mixSI-SNRi (dB): 22.3 -> 24.0Helped
add multi-loss with same sampling rates (ablation)SepFormer + DM · WSJ0-2mixSI-SNRi (dB): 22.3 -> 23.0Helped
use increasing sampling rates for multi-loss estimates (ablation)SFSRNet multi-loss · WSJ0-2mixSI-SNRi (dB): 23.0 -> 23.3Helped
add SR without heuristics (ablation)SepFormer + DM · WSJ0-2mixSI-SNRi (dB): 22.3 -> 22.9Helped
add heuristics to SR (ablation)SFSRNet with SR · WSJ0-2mixSI-SNRi (dB): 22.9 -> 23.3Helped
add multi-loss and heuristic-guided SR (ablation)SepFormer + DM · WSJ0-2mixSI-SNRi (dB): 22.3 -> 24.0Helped
downsample DPRNN with stride 8 instead of stride 1DPRNN · WSJ0-2mixSI-SNRi (dB): 19.1 -> 18.0Hurt
add SR after stride-8 downsamplingDPRNN · WSJ0-2mixSI-SNRi (dB): 18.0 -> 18.4Helped
reduce DPRNN chunk size from 200 to 50DPRNN, stride 8 · WSJ0-2mixSI-SNRi (dB): 18.0 -> 17.7Hurt
add SR with chunk size 50DPRNN, stride 8 · WSJ0-2mixSI-SNRi (dB): 17.7 -> 18.8Helped
add dynamic mixingSFSRNet · clean Libri2MixSI-SNRi (dB): 20.4 -> 21.7Helped
add dynamic mixingSFSRNet · noisy Libri2MixSI-SNRi (dB): 15.6 -> 16.4Helped

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