Methods › Audio › Audio Model Blocks › ParaNet Convolution Block
ParaNet Convolution Block
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A ParaNet Convolution Block is a convolutional block that appears in the encoder and decoder of the ParaNet text-to-speech architecture. It consists of a 1-D convolution with a gated linear unit (GLU) and a residual connection. It is similar to the DV3 Convolution Block.
Papers archive 2025-07-28
4 shown of 4, 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.
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Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network 27 Dec 2021 · 0 repositories · arXiv:2112.13494
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ParaNet: Deep Regular Representation for 3D Point Clouds 5 Dec 2020 · 0 repositories · arXiv:2012.03028
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Parallel Neural Text-to-Speech 1 Jan 2020 · 0 repositories
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Non-Autoregressive Neural Text-to-Speech 21 May 2019 · 2 repositories · arXiv:1905.08459Syntology ran 2 of 7 samples · 5 unverified
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.
| Task | Papers |
|---|---|
| Text to Speech | 2 |
| text-to-speech | 2 |
| GPR | 1 |
| Text-To-Speech Synthesis | 1 |
| point cloud upsampling | 1 |
Usage over time archive 2025-07-28
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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections