Methods › Sequential › Temporal Convolutions › ConvTasNet

Convolutional time-domain audio separation network

ConvTasNet

11 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Combines learned time-frequency representation with a masker architecture based on 1D dilated convolution.

Source: Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude...See Code · asteroid-team/asteroid

Papers archive 2025-07-28

11 shown of 11, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

13 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Speech Separation8
Speech Enhancement3
Action Detection1
Activity Detection1
Audio Source Separation1
Denoising1
Multi-task Audio Source Seperation1
Music Source Separation1
Speaker Diarization1
Speaker Recognition1
Speaker Separation1
Transfer Learning1
speaker-diarization1

Usage over time archive 2025-07-28

Papers per year tagged with ConvTasNet: 2018 to 2025, peak 3 3 0 2018: 1 paper 2018 2019: 2 papers 2019 2020: 1 paper 2020 2021: 0 papers 2021 2022: 3 papers 2022 2023: 0 papers 2023 2024: 2 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (11 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Temporal Convolutions

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