HyperAI超神経

Music Source Separation On Musdb18 Hq

評価指標

SDR (avg)
SDR (bass)
SDR (drums)
SDR (others)
SDR (vocals)

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
SDR (avg)
SDR (bass)
SDR (drums)
SDR (others)
SDR (vocals)
Paper TitleRepository
BS-RoFormer (L=12, OA)11.9913.3212.919.0112.72--
CWS-PResUNet6.775.936.385.848.92CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet
Unmix4.1884.0734.9252.6955.06Transfer Learning with Jukebox for Music Source Separation
BS-RoFormer (L=6, OA)9.8011.319.497.7310.66--
SCNet9.008.8210.516.769.89SCNet: Sparse Compression Network for Music Source Separation
TFC-TDF-UNet (v3)8.348.458.446.869.59Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3-
Band-Split RNN (semi-sup.)8.978.1610.157.0810.47Music Source Separation with Band-split RNN
Dual-Path TFC-TDF UNet (DTTNet)8.157.557.827.0210.21Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)
Hybrid Transformer Demucs (f.t.)9.0010.3910.086.329.20Hybrid Transformers for Music Source Separation
Sparse HT Demucs (fine tuned)9.2010.4710.836.419.37Hybrid Transformers for Music Source Separation
Hybrid Demucs7.688.768.245.598.13Hybrid Spectrogram and Waveform Source Separation
KUIELab-MDX-Net7.477.837.205.908.97KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
Band-Split RNN8.247.229.016.7010.01Music Source Separation with Band-split RNN
SCNet-large9.699.4910.987.4410.86SCNet: Sparse Compression Network for Music Source Separation
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