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k2-fsa/OmniVoice

High-Quality Voice Cloning TTS for 600+ Languages

#Text to speech
Visit GitHub
Python
16.5k
2.5k
14 contributors
Apache License 2.0
AchievementsView all →
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Momentum

How fast k2-fsa/OmniVoice 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

Sep 13 – Nov 12, 2026

Stars +3,763 in 61 days

0200400
320

Forks +524 in 61 days

02040
36

Merged PRs 0 in 61 days

01

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

Top 25 in Python

2420
Sep 13Sep 21Sep 29Oct 7Oct 15Oct 23Oct 31Nov 8
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 PRsPython
Sun, Sep 13, 2026+320+360Not trending
Mon, Sep 14, 2026+131+200Not trending
Tue, Sep 15, 2026+82+110Not trending
Wed, Sep 16, 2026+52+90Not trending
Thu, Sep 17, 2026+99+110Not trending
Fri, Sep 18, 2026+87+100Not trending
Sat, Sep 19, 2026+45+70Not trending
Sun, Sep 20, 2026+39+70Not trending
Mon, Sep 21, 2026+58+60Not trending
Tue, Sep 22, 2026+43+80Not trending
Wed, Sep 23, 2026+50+110Not trending
Thu, Sep 24, 2026+54+70Not trending
Fri, Sep 25, 2026+31+60Not trending
Sat, Sep 26, 2026+43+60Not trending
Sun, Sep 27, 2026+47+60Not trending
Mon, Sep 28, 2026+55+70Not trending
Tue, Sep 29, 2026+42+40Not trending
Wed, Sep 30, 2026+30+70Not trending
Thu, Oct 1, 2026+23+50Not trending
Fri, Oct 2, 2026+24+30Not trending
Sat, Oct 3, 2026+50+60Not trending
Sun, Oct 4, 2026+32+70Not trending
Mon, Oct 5, 2026+30+50Not trending
Tue, Oct 6, 2026+35+80Not trending
Wed, Oct 7, 2026+53+90Not trending
Thu, Oct 8, 2026+44+70Not trending
Fri, Oct 9, 2026+26+30Not trending
Sat, Oct 10, 2026+24+20Not trending
Sun, Oct 11, 2026+26+20Not trending
Mon, Oct 12, 2026+26+40Not trending
Tue, Oct 13, 2026+42+40Not trending
Wed, Oct 14, 2026+46+70Not trending
Thu, Oct 15, 2026+30+90Not trending
Fri, Oct 16, 2026+42+50Not trending
Sat, Oct 17, 2026+59+100Not trending
Sun, Oct 18, 2026+55+110Not trending
Mon, Oct 19, 2026+257+230#24
Tue, Oct 20, 2026+277+340#20
Wed, Oct 21, 2026+154+150Not trending
Thu, Oct 22, 2026+195+280Not trending
Fri, Oct 23, 2026+99+150Not trending
Sat, Oct 24, 2026+72+60Not trending
Sun, Oct 25, 2026+61+90Not trending
Mon, Oct 26, 2026+66+130Not trending
Tue, Oct 27, 2026+66+50Not trending
Wed, Oct 28, 2026+42+50Not trending
Thu, Oct 29, 2026+33+30Not trending
Fri, Oct 30, 2026+41+80Not trending
Sat, Oct 31, 2026+26+30Not trending
Sun, Nov 1, 2026+28+50Not trending
Mon, Nov 2, 2026+45+30Not trending
Tue, Nov 3, 2026+39+130Not trending
Wed, Nov 4, 2026+34+40Not trending
Thu, Nov 5, 2026+28+50Not trending
Fri, Nov 6, 2026+33+70Not trending
Sat, Nov 7, 2026+19+60Not trending
Sun, Nov 8, 2026+35+70Not trending
Mon, Nov 9, 2026+31+50Not trending
Tue, Nov 10, 2026+43+70Not trending
Wed, Nov 11, 2026+38+70Not trending
Thu, Nov 12, 2026+26+20Not trending
Total+3,763+5240
  • 1#1 on the list
  • 7Rank that day
  • Not trending
5
  • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Python

    Sep 5 – Oct 21, 2026Best #5

    #1#5#10#15#20#25
    Top 10
    Sep 5, 2026Oct 21, 2026
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about k2-fsa/OmniVoice, and every badge it has earned
    1. Nov 91 post
      • 外语配音一分钟几十块起,小单还排不上队。 OmniVoice 是零样本多语言 TTS:一段参考音频就能用该音色说 600+ 种语言,也能凭空设计音色,开源本地跑。

        Read full on X, posted by @laogeai

        @laogeai · x.com

    2. 11 days earlier
    3. Oct 291 post
      • 刷 GitHub 翻到个 TTS,写一句 "male, 东北话" 就能出方言,河南话、陕西话、四川话都有 又找了个火柴人视频的 skill,丢段文案进去,配音、字幕、出片全自动 俩凑一块儿给 Grok Bot 做了个 32 秒的介绍 没显卡,也没用 API key 开头一句“哎呀妈呀老铁们”,我自己先绷不住了

        Read full on X, posted by @jiannannnn

        @jiannannnn · x.com

    4. 19 days earlier
    5. Oct 101 post
      • 600 多种语言的零样本语音克隆 TTS,支持声音设计、非语言符号和发音纠正,Apache-2.0,约 1.4 万 star。

        Read full on X, posted by @ZhongRichard

        @ZhongRichard · x.com

    6. 7 days earlier
    7. Oct 31 post
      • 刨到个开源的声音复刻软件 OmniVoice 1️⃣ 撑得住 600 多种语言 2️⃣ 年龄、音高、方言、气音随你调 3️⃣ 不用提前喂数据训练,装上就能使 4️⃣ 生成速度比实时快 40 倍,你这边话音刚落地,那边已经把你这把嗓子塞进任意一种语言里了 🔗

        Read full on X, posted by @laogeai

        @laogeai · x.com

    8. 9 days earlier
    9. Sep 241 post
      • There's an open-source text-to-speech model that covers 600+ languages. OmniVoice from the k2-fsa (Next-gen Kaldi) team clones a voice from a few seconds of audio, or designs a new one from gender,…

        Read full on X, posted by @AIDeckApp

        @AIDeckApp · x.com

    10. 12 days earlier
    11. Sep 121 post
      • 🚨 Someone built a text-to-speech model that speaks 600 languages. Zero-shot. Clone any voice from a 5-second clip. Generate speech 40x faster than real time. It's called OmniVoice. The broadest…

        Read full on X, posted by @RituWithAI

        @RituWithAI · x.com

    12. Sep 81 post
      • 出现了一个音声AI能用600多种语言完全复刻你的声音 OmniVoice(Python写的),GitHub星标快1万了 核心功能: • 600+语言零样本语音合成 • 用音频样本克隆声音 • 可调年龄、音高、方言、气音 • 实时生成速度快40倍 做多语言内容和视频配音的人应该会很感兴趣

        Read full on X, posted by @xiaoying_eth

        @xiaoying_eth · x.com

    13. Sep 73 posts
      • Voice cloning gets harder when language coverage becomes a requirement. OmniVoice is an open-source, massively multilingual zero-shot text-to-speech model for builders who need speech generation…

        Read full on X, posted by @DanKornas

        @DanKornas · x.com

      • "A voice AI that can "perfectly replicate voices" in over 600 languages has emerged👀 OmniVoice (made with Python), ⭐️ about 10,000." ➡️ Have you tried before? Legit or Empty Claim?

        Read full on Reddit

        r/LovingAIAgents

      • "A voice AI that can "perfectly replicate voices" in over 600 languages has emerged👀 OmniVoice (made with Python), ⭐️ about 10,000." ➡️ Have you tried before? Legit or Empty Claim?

        Read full on Reddit

        r/LovingOpenSourceAI

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