---
title: EMA Lightning
emoji: ⚡
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.29.1
app_file: app.py
short_description: Turkish TTS from an 8.6M-param flow-matching model
python_version: "3.12"
startup_duration_timeout: 30m
---

Turkish text-to-speech with **EMA Lightning** — a 5.6M-parameter DiT acoustic
model plus a 3M-parameter vocoder: 8.6M parameters in total, about 34 MB,
Apache-2.0. It reads Turkish characters directly, expands digits, dates,
times and currency to spoken Turkish, and synthesizes 48 kHz speech in four
ODE steps. 0.92% WER on Freya-TR-Eval, the lowest of every system measured,
including ElevenLabs v4, Gemini 3.8 and the 2.38B-parameter Trendyol-TTS.

The Space runs the authors' own [`ema-lightning`](https://pypi.org/project/ema-lightning/)
pip package against the checkpoint at
[canberkkkkkk/ema-lightning](https://huggingface.co/canberkkkkkk/ema-lightning).
One fixed voice, no cloning. Example sentences are the authors' own
showcase texts from the model card.

- [Model card](https://huggingface.co/canberkkkkkk/ema-lightning)
- [GitHub](https://github.com/canberk7/ema-lightning)
- [Text frontend: normalizer-tr](https://github.com/erdemtuna/normalizer-tr)