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The 2018 Signal Separation Evaluation Campaign

arXiv 1804.06267 ↗First posted 17 Apr 2018eess.AS cs.SDcited by 41

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Abstract (arXiv)

This paper reports the organization and results for the 2018 community-based Signal Separation Evaluation Campaign (SiSEC 2018). This year's edition was focused on audio and pursued the effort towards scaling up and making it easier to prototype audio separation software in an era of machine-learning based systems. For this purpose, we prepared a new music separation database: MUSDB18, featuring close to 10h of audio. Additionally, open-source software was released to automatically load, process and report performance on MUSDB18. Furthermore, a new official Python version for the BSSEval toolbox was released, along with reference implementations for three oracle separation methods: ideal binary mask, ideal ratio mask, and multichannel Wiener filter. We finally report the results obtained by the participants.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Apr 2018.

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Citing papers per year: 2021: 7; 2022: 7; 2023: 10; 2024: 7; 2025: 5; 2026: 5.

41 papers.

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  1. 2021Hybrid Spectrogram and Waveform Source Separationcited by 90
  2. 2022Music Source Separation with Band-split RNNcited by 69
  3. 2022CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videoscited by 23
  4. 2023Latent Autoregressive Source Separationcited by 12
  5. 2022Music Separation Enhancement with Generative Modelingcited by 8
  6. 2023A Generalized Bandsplit Neural Network for Cinematic Audio Source Separationcited by 8
  7. 2024OmniSep: Unified Omni-Modality Sound Separation with Query-Mixupcited by 8
  8. 2024A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stemscited by 7
  9. 2023Benchmarks and leaderboards for sound demixing taskscited by 6
  10. 2023GASS: Generalizing Audio Source Separation with Large-scale Datacited by 6
  11. 2021Modeling the Compatibility of Stem Tracks to Generate Music Mashupscited by 5
  12. 2022Robust One-Shot Singing Voice Conversioncited by 5
29 more
  1. 2025Music Source Restorationcited by 5
  2. 2022Unsupervised Music Source Separation Using Differentiable Parametric Source Modelscited by 4
  3. 2022Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Soundscited by 4
  4. 2023Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3cited by 4
  5. 2023Toward Deep Drum Source Separationcited by 4
  6. 2024Unsupervised Composable Representations for Audiocited by 4
  7. 2024SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separationcited by 4
  8. 2021Audiovisual Singing Voice Separationcited by 3
  9. 2023The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Losscited by 3
  10. 2021On the Design of Deep Priors for Unsupervised Audio Restorationcited by 2
  11. 2021Unsupervised Source Separation via Bayesian Inference in the Latent Domaincited by 2
  12. 2022Improved singing voice separation with chromagram-based pitch-aware remixingcited by 2
  13. 2023Exploiting Time-Frequency Conformers for Music Audio Enhancementcited by 2
  14. 2024Applications and Advances of Artificial Intelligence in Music Generation:A Reviewcited by 2
  15. 2025Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion Modelcited by 2
  16. 2021Unsupervised Source Separation By Steering Pretrained Music Modelscited by 1
  17. 2023Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Datacited by 1
  18. 2024The first Cadenza challenges: using machine learning competitions to improve music for listeners with a hearing losscited by 1
  19. 2024Improving Music Source Separation with Diffusion and Consistency Refinementcited by 1
  20. 2025MARS-Sep: Multimodal-Aligned Reinforced Sound Separationcited by 1
  21. 2025Generating Separated Singing Vocals Using a Diffusion Model Conditioned on Music Mixturescited by 1
  22. 2021Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Methodcited by 0
  23. 2023Pac-HuBERT: Self-Supervised Music Source Separation via Primitive Auditory Clustering and Hidden-Unit BERTcited by 0
  24. 2025Source Separation of Small Classical Ensembles: Challenges and Opportunitiescited by 0
  25. 2026The Costs of Reproducibility in Music Separation Research: a Replication of Band-Split RNNcited by 0
  26. 2026Diff-VS: Efficient Audio-Aware Diffusion U-Net for Vocals Separationcited by 0
  27. 2026Decoupled Latent Flow Matching for Few-Step Joint Vocal-Accompaniment Separationcited by 0
  28. 2026Iterative Audio Separation with Mixture Consistency via MIMO Model Extensioncited by 0
  29. 2026SCISSOR: Score-Conditioned Instrument Source Separation for Orchestral Recordingscited by 0