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SOTA
音乐源分离
Music Source Separation On Musdb18 Hq
Music Source Separation On Musdb18 Hq
评估指标
SDR (avg)
SDR (bass)
SDR (drums)
SDR (others)
SDR (vocals)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
SDR (avg)
SDR (bass)
SDR (drums)
SDR (others)
SDR (vocals)
Paper Title
Repository
BS-RoFormer (L=12, OA)
11.99
13.32
12.91
9.01
12.72
-
-
BS-RoFormer (L=6, OA)
9.80
11.31
9.49
7.73
10.66
-
-
SCNet-large
9.69
9.49
10.98
7.44
10.86
SCNet: Sparse Compression Network for Music Source Separation
Sparse HT Demucs (fine tuned)
9.20
10.47
10.83
6.41
9.37
Hybrid Transformers for Music Source Separation
SCNet
9.00
8.82
10.51
6.76
9.89
SCNet: Sparse Compression Network for Music Source Separation
Hybrid Transformer Demucs (f.t.)
9.00
10.39
10.08
6.32
9.20
Hybrid Transformers for Music Source Separation
Band-Split RNN (semi-sup.)
8.97
8.16
10.15
7.08
10.47
Music Source Separation with Band-split RNN
TFC-TDF-UNet (v3)
8.34
8.45
8.44
6.86
9.59
Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
Band-Split RNN
8.24
7.22
9.01
6.70
10.01
Music Source Separation with Band-split RNN
Dual-Path TFC-TDF UNet (DTTNet)
8.15
7.55
7.82
7.02
10.21
Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)
Hybrid Demucs
7.68
8.76
8.24
5.59
8.13
Hybrid Spectrogram and Waveform Source Separation
KUIELab-MDX-Net
7.47
7.83
7.20
5.90
8.97
KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
CWS-PResUNet
6.77
5.93
6.38
5.84
8.92
CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet
Unmix
4.188
4.073
4.925
2.695
5.06
Transfer Learning with Jukebox for Music Source Separation
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Music Source Separation On Musdb18 Hq | SOTA | HyperAI超神经