mlsanityData to 13 Oct 2026

Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3

arXiv 2306.09382 ↗First posted 15 Jun 2023cs.SD cs.LG cs.MMcited by 4

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Abstract (arXiv)

In this report, we present our award-winning solutions for the Music Demixing Track of Sound Demixing Challenge 2023. First, we propose TFC-TDF-UNet v3, a time-efficient music source separation model that achieves state-of-the-art results on the MUSDB benchmark. We then give full details regarding our solutions for each Leaderboard, including a loss masking approach for noise-robust training. Code for reproducing model training and final submissions is available at github.com/kuielab/sdx23.

Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). Builds on 10 of its 15 references that are in the map. First posted on arXiv 15 Jun 2023.

Builds on

10 of 15 references.

References · 10

  1. 2017Road Extraction by Deep Residual U-Netcited by 333
  2. 2022Hybrid Transformers for Music Source Separationcited by 134
  3. 2021Hybrid Spectrogram and Waveform Source Separationcited by 91
  4. 2022Music Source Separation with Band-split RNNcited by 70
  5. 2018The 2018 Signal Separation Evaluation Campaigncited by 41
  6. 2021Music Demixing Challenge 2021cited by 38
  7. 2021KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixingcited by 24
  8. 2020Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Musiccited by 13
  9. 2021CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNetcited by 9
  10. 2019Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentationcited by 4

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 3.

4 papers.

  1. 2024A Two-Stage Band-Split Mamba-2 Network For Music Separationcited by 2
  2. 2026A Knowledge-Driven Approach to Music Segmentation, Music Source Separation and Cinematic Audio Source Separationcited by 0
  3. 2026The Costs of Reproducibility in Music Separation Research: a Replication of Band-Split RNNcited by 0
  4. 2026Diff-VS: Efficient Audio-Aware Diffusion U-Net for Vocals Separationcited by 0