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utterance level permutation invariant training

uPIT

7 papers tagged archive 2025-07-28

Introduced by Dong Yu et al. in Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation

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

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

7 shown of 7, 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

5 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 Separation6
Clustering3
Deep Clustering3
Deep Learning1
regression1

Usage over time archive 2025-07-28

Papers per year tagged with uPIT: 2016 to 2021, peak 2 2 0 2016: 1 paper 2016 2017: 1 paper 2017 2018: 0 papers 2018 2019: 2 papers 2019 2020: 1 paper 2020 2021: 2 papers 2021
Papers per year the archive tags with this method, by the paper's archive date (7 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

Loss Functions

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