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dasheng

大声读 — R2T2 流式 ASR 听,Jev 逐词判,英文朗读评分

12 ★ on GitHub

What it is

R2T2 负责听。 它是真流式,最低 160ms 的步长往外吐词,还有个叫 stable prefix 的机制:已经提交的文本只增不改。传统流式 ASR 会来回改词, I want to book 变成 I want to look 再变回来 —— 给人看字幕还行,可下游要是 接了另一个模型,它就得跟着反复撤销自己刚做的判断。正因为有这一层,屏幕上划过的 线不会闪、判过的分不用重判,漏读多读也能直接拿识别结果算。

Where the decision sits

dasheng calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev.

How active it is

Created 2026-09-20, last pushed 2026-09-20, 12 stars and 2 forks when we read it on 2026-09-20. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.

What we have not checked

Whether it works. We have not run this project, measured the model behind it, or verified any performance claim in its README. This page records what the repository says about itself, read on 2026-09-20. The one model we have measured end to end is Jev.

Find out what your data actually supports

We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.