Multi-task Audio Source Seperation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (3 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
  20 Sep 2018 17 repositories listed Syntology ran 7 of 36 samples · 29 unverified · 16 pointer-only (licence)
  The majority of the previous methods have formulated the separation problem through the time-frequency representation of the mixed signal, which has several drawbacks, including the decoupling of the phase and magnitude…
• Multi-Task Audio Source Separation
  14 Jul 2021 1 repository listed
  In detail, the proposed model follows a two-stage pipeline, which separates the three types of audio signals and then performs signal compensation separately.
• Music Source Separation in the Waveform Domain
  27 Nov 2019 1 repository listed
  Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.