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canberk7/ema-lightning

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.

#Text to speech
Visit GitHub
Python
255
32
1 contributors
Apache License 2.0
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Momentum

How fast canberk7/ema-lightning is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 6 – Oct 21, 2026

Stars +158 in 16 days

0102030
27

Forks +32 in 16 days

0510
10

Merged PRs 2 in 16 days

01
1

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 6Oct 8Oct 10Oct 12Oct 14Oct 16Oct 18Oct 20
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Oct 6, 2026+0+100
Wed, Oct 7, 2026+27+91
Thu, Oct 8, 2026+26+40
Fri, Oct 9, 2026+7+01
Sat, Oct 10, 2026+10+10
Sun, Oct 11, 2026+6+10
Mon, Oct 12, 2026+5+20
Tue, Oct 13, 2026+5+00
Wed, Oct 14, 2026+4+00
Thu, Oct 15, 2026+3+20
Fri, Oct 16, 2026+5+00
Sat, Oct 17, 2026+6+00
Sun, Oct 18, 2026+5+10
Mon, Oct 19, 2026+12+00
Tue, Oct 20, 2026+27+10
Wed, Oct 21, 2026+10+10
Total+158+322
  • 1#1 on the list
  • 7Rank that day
  • Not trending

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