# canberk7/ema-lightning

<https://repo.masters-masters.com/en/repos/canberk7/ema-lightning>

[Home](https://repo.masters-masters.com/en) › [canberk7](https://repo.masters-masters.com/en/owners/canberk7) › [ema-lightning](https://repo.masters-masters.com/en/repos/canberk7/ema-lightning)

canberk7/ema-lightning has 294 stars on GitHub. Its RepoMasters card: Alpha tier. Tiny, fast and accurate Turkish text-to-speech. 8.6M parameters, 0.92% WER…

| Field | Value |
| --- | --- |
| Owner | [canberk7](https://repo.masters-masters.com/en/owners/canberk7) |
| Stars | 294 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [canberk7/ema-lightning](https://github.com/canberk7/ema-lightning) |

## Repository

Tiny, fast and accurate Turkish text-to-speech. 8.6M parameters, 0.92% WER on Freya-TR-Eval, first audio in ~4 ms and 1,300× real time on one GPU. Streams audio, batches many callers on one GPU, and runs offline on a GPU or CPU.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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