Methods › Audio › Audio Model Blocks › Bridge-net

Bridge-net

7 papers tagged archive 2025-07-28

Introduced by Wei Ping et al. in ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech

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

Bridge-net is an audio model block used in the ClariNet text-to-speech architecture. Bridge-net maps frame-level hidden representation to sample-level through several convolution blocks and transposed convolution layers interleaved with softsign non-linearities.

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

8 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 Synthesis3
Domain Adaptation2
Text to Speech2
Unsupervised Domain Adaptation2
text-to-speech2
Melody Extraction1
Retrieval1
Text-To-Speech Synthesis1

Usage over time archive 2025-07-28

Papers per year tagged with Bridge-net: 2018 to 2022, peak 3 3 0 2018: 1 paper 2018 2019: 3 papers 2019 2020: 2 papers 2020 2021: 0 papers 2021 2022: 1 paper 2022
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

Audio Model Blocks

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