# cvqluu/Factorized-TDNN

<https://repo.masters-masters.com/en/repos/cvqluu/Factorized-TDNN>

[Home](https://repo.masters-masters.com/en) › [cvqluu](https://repo.masters-masters.com/en/owners/cvqluu) › [Factorized-TDNN](https://repo.masters-masters.com/en/repos/cvqluu/Factorized-TDNN)

cvqluu/Factorized-TDNN has 150 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of the Factorized TDNN (TDNN-F) from…

| Field | Value |
| --- | --- |
| Owner | [cvqluu](https://repo.masters-masters.com/en/owners/cvqluu) |
| Stars | 150 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | kaldi, tdnn, tdnn-f, pytorch, speech-recognition, speaker-recognition, acoustic-model, neural-network, neural-networks, speaker-diarization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [cvqluu/Factorized-TDNN](https://github.com/cvqluu/Factorized-TDNN) |

## Repository

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by cvqluu

- [cvqluu/Angular-Penalty-Softmax-Losses-Pytorch · ★ 499 · Python · Alpha](https://repo.masters-masters.com/en/repos/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch)
- [cvqluu/TDNN · ★ 208 · Python · Prototype](https://repo.masters-masters.com/en/repos/cvqluu/TDNN)
- [cvqluu/simple\_diarizer · ★ 160 · Python · Prototype](https://repo.masters-masters.com/en/repos/cvqluu/simple_diarizer)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
