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netease-youdao/Confucius4-R2T2

Confucius4-R2T2: A Low Latency and High Accuracy Real-Time Speech Recognition Model

#Speech to text
Visit GitHub
Python
885
84
2 contributors
Custom license
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How fast netease-youdao/Confucius4-R2T2 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 15 – Nov 13, 2026

Stars +879 in 60 days

0100200
154

Forks +84 in 60 days

01020
16

Merged PRs 0 in 60 days

01

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

Not in the Trendshift top 25 in this period

Sep 15Sep 23Oct 1Oct 9Oct 17Oct 25Nov 2Nov 10
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, Sep 15, 2026+0+00
Wed, Sep 16, 2026+2+20
Thu, Sep 17, 2026+106+80
Fri, Sep 18, 2026+49+10
Sat, Sep 19, 2026+8+10
Sun, Sep 20, 2026+122+160
Mon, Sep 21, 2026+74+90
Tue, Sep 22, 2026+40+30
Wed, Sep 23, 2026+154+130
Thu, Sep 24, 2026+54+20
Fri, Sep 25, 2026+25+10
Sat, Sep 26, 2026+18+40
Sun, Sep 27, 2026+8+10
Mon, Sep 28, 2026+12+10
Tue, Sep 29, 2026+41+10
Wed, Sep 30, 2026+12+10
Thu, Oct 1, 2026+8+10
Fri, Oct 2, 2026+6+20
Sat, Oct 3, 2026+4+10
Sun, Oct 4, 2026+7+00
Mon, Oct 5, 2026+6+20
Tue, Oct 6, 2026+2+00
Wed, Oct 7, 2026+7+00
Thu, Oct 8, 2026+9+00
Fri, Oct 9, 2026+9+20
Sat, Oct 10, 2026+6+00
Sun, Oct 11, 2026+3+10
Mon, Oct 12, 2026+4+00
Tue, Oct 13, 2026+8+10
Wed, Oct 14, 2026+6+00
Thu, Oct 15, 2026+8+00
Fri, Oct 16, 2026+4+00
Sat, Oct 17, 2026+1+10
Sun, Oct 18, 2026+2+00
Mon, Oct 19, 2026+4+00
Tue, Oct 20, 2026+4+10
Wed, Oct 21, 2026+2+00
Thu, Oct 22, 2026+4+30
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+1+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+2+00
Wed, Oct 28, 2026+0+00
Thu, Oct 29, 2026+5+10
Fri, Oct 30, 2026+3+00
Sat, Oct 31, 2026+0+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+0+00
Tue, Nov 3, 2026+1+00
Wed, Nov 4, 2026+1+00
Thu, Nov 5, 2026+0+00
Fri, Nov 6, 2026+2+00
Sat, Nov 7, 2026+5+00
Sun, Nov 8, 2026+2+00
Mon, Nov 9, 2026+6+00
Tue, Nov 10, 2026+5+00
Wed, Nov 11, 2026+2+30
Thu, Nov 12, 2026+5+10
Fri, Nov 13, 2026+0+00
Total+879+840
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 101 post
    • Most streaming ASR rewrites words it already emitted. Fine for captions, bad for a voice agent that already acted on them. Confucius4-R2T2 never revises. At 160 ms chunks: 5.76% avg error vs 21.01%…

      Read full on X, posted by @bvsbharat

      @bvsbharat · x.com

  2. 28 days earlier
  3. Oct 131 post
    • 网易有道 Confucius4-R2T2!实时语音识别,支持本地部署 网盘: 星球: GPU:2G #Confucius4R2T2 #语音识别 #多语种 #实时 #ai

      Read full on X, posted by @jasonwwww_

      @jasonwwww_ · x.com

  4. 15 days earlier
  5. Sep 281 post
    • Why this matters for Voice Agents: The loop is speech → recognize → understand → act → respond. ASR has to be fast and accurate and stable enough that a second model can trust every committed token.…

      Read full on X, posted by @Just_sharon7

      @Just_sharon7 · x.com

  6. Sep 262 posts
    • 别让实时字幕一边出字一边反悔了。Confucius4-R2T2 把语音识别做成只追加、不回改的输出 它基于 Qwen3-ASR,学习判断哪些文字已经足够稳定,没把握时就等更多音频,而不是先吐出结果再修正。这个思路对直播字幕和接在转写后面的翻译、Agent 都很实用:下游终于可以把收到的文字当作确定输入。分块大小可在 80 毫秒到 2 秒间调节,按延迟和准确率取舍。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

    • 实时字幕先别急着把每个识别结果都放上屏!字一改,下游翻译和处理也得跟着返工。Confucius4-R2T2 的思路是只输出稳定前缀 它基于 Qwen3-ASR 训练模型判断哪些字可以提交,没把握就等更多音频;已输出的文本不再修改。音频切块可在 80 毫秒到 2 秒间调,延迟和准确率也能按需求取舍。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

  7. Sep 241 post
    • The ecosystem around these releases is moving quickly too: • Both models are open source • Both reached #1 on Hugging Face Trending in their respective categories • R2T2 has an official Hugging Face…

      Read full on X, posted by @Parul_Gautam7

      @Parul_Gautam7 · x.com

  8. Sep 231 post
    • Then there’s Confucius4-T3PO, a 14B streaming translation model. R2T2 turns speech into stable incremental text → T3PO decides when to READ/WRITE and translates it incrementally. That makes the…

      Read full on X, posted by @thetripathi58

      @thetripathi58 · x.com

  9. Sep 211 post
    • Specs if you want them: > 80ms–2s configurable chunks > 200–600ms average latency > vLLM backend + HF transformers > hotwords and context prompts Same model for streaming and offline, with no drop in…

      Read full on X, posted by @DataChaz

      @DataChaz · x.com

  10. Sep 202 posts
    • Here is how this works: • The model starts listening • As it hears words that it considers stable, it publishes them • It holds back on any uncertain words it hears • As it gathers more context, it…

      Read full on X, posted by @svpino

      @svpino · x.com

    • 发一下网易有道这两天上新的实时语音识别模型:Confucius4-R2T2,基于Qwen3-ASR,核心是实时字幕不跳字 流式追加式输出,已输出的文本只增不改,避免实时字幕中的文字闪烁 它用了一个LSP策略,模型持续监听语音,当足够确定某段话不会变时才把这段定稿输出,没把握的部分先憋着等听到更多上下文再说,在稳定与低延迟之间找权衡,延迟大概在200~600毫秒…

      Read full on X, posted by @aigclink

      @aigclink · x.com

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