30+ Years of Source Separation Research: Achievements and Future Challenges
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Abstract (arXiv)
Source separation (SS) of acoustic signals is a research field that emerged in the mid-1990s and has flourished ever since. On the occasion of ICASSP's 50th anniversary, we review the major contributions and advancements in the past three decades in the speech, audio, and music SS research field. We will cover both single- and multi-channel SS approaches. We will also look back on key efforts to foster a culture of scientific evaluation in the research field, including challenges, performance metrics, and datasets. We will conclude by discussing current trends and future research directions.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jan 2025.
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Citing papers per year: 2025: 4; 2026: 3.
7 papers.
- 2025A Study of the Scale Invariant Signal to Distortion Ratio in Speech Separation with Noisy Referencescited by 4
- 2025MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separationcited by 3
- 2025Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion Modelcited by 2
- 2025Generating Separated Singing Vocals Using a Diffusion Model Conditioned on Music Mixturescited by 1
- 2026Predictive-Generative Drift Decomposition for Speech Enhancement and Separationcited by 0
- 2026TCPα: Margin-Controlled Confidence estimation for reliable Music Information Retrievalcited by 0
- 2026Predictive audio representations for early detection and tracking of hidden dynamic objectscited by 0
- 2026Predictive audio representations for early detection and tracking of hidden dynamic objects11 Sep 2026
- 2026TCPα: Margin-Controlled Confidence estimation for reliable Music Information Retrieval20 Aug 2026
- 2026Predictive-Generative Drift Decomposition for Speech Enhancement and Separation7 May 2026
- 2025Generating Separated Singing Vocals Using a Diffusion Model Conditioned on Music Mixtures26 Nov 2025
- 2025Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion Model25 Nov 2025
- 2025MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation10 Oct 2025
- 2025A Study of the Scale Invariant Signal to Distortion Ratio in Speech Separation with Noisy References20 Aug 2025