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Models/U-Net + AFiLM

U-Net + AFiLM

Reported on 9 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio9 results

Audio GenerationonPiano
Log-Spectral Distance· 2021-08-26
1.5
best: 3.4 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
Audio GenerationonVCTK Multi-Speaker
Log-Spectral Distance· 2021-08-26
1.7
best: 3.1 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
Audio GenerationonVoice Bank corpus (VCTK)
Log-Spectral Distance· uses extra data· 2021-08-26
2.3
best: 3.2 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
10-shot image generationonPiano
Log-Spectral Distance· 2021-08-26
1.5
best: 3.4 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
10-shot image generationonVCTK Multi-Speaker
Log-Spectral Distance· 2021-08-26
1.7
best: 3.1 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
10-shot image generationonVoice Bank corpus (VCTK)
Log-Spectral Distance· uses extra data· 2021-08-26
2.3
best: 3.2 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
Audio Super-ResolutiononPiano
Log-Spectral Distance· 2021-08-26
1.5
best: 3.4 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
Audio Super-ResolutiononVCTK Multi-Speaker
Log-Spectral Distance· 2021-08-26
1.7
best: 3.1 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637
Audio Super-ResolutiononVoice Bank corpus (VCTK)
Log-Spectral Distance· uses extra data· 2021-08-26
2.3
best: 3.2 (U-Net)
Self-Attention for Audio Super-Resolution arXiv:2108.11637