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English(EN) S1-mini by Superwhisper: A 0.6B-parameter text normalizer for speech-to-text output.

Superwhisper 发布 S1-mini,一个用于 ASR 文本的开源文本规范化模型

Superwhisper 发布了 S1-mini,一个开源文本规范化模型,旨在清理原始的自动语音识别 (ASR) 文本。这个 0.6B 参数模型,从 Qwen/Qwen3-0.6B 微调而来,可以去除填充词、修正自我纠正、并应用正确的标点和大小写。它可以在笔记本电脑 CPU 上本地部署,适用于医疗、法律和客户支持等多个行业。 AI

影响 使开发者和企业更容易部署 ASR 后处理,有可能提高语音转文本应用的效率。

排序理由 知名 AI 实验室发布新模型,开源权重。 [lever_c_demoted from frontier_release: ic=2 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Superwhisper 发布 S1-mini,一个用于 ASR 文本的开源文本规范化模型

本文如何被排名

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知名 AI 实验室发布新模型,开源权重。 [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [3]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    认识 S1-mini:Superwhisper 的 462 MB 开源文本规范化器,可将原始 ASR 文本转换为干净的书面文本

    <p>S1-mini is a 462 MB open-weights normalizer that sits after ASR, removing fillers and resolving self-corrections locally.</p> <p>The post <a href="https://www.marktechpost.com/2026/08/20/meet-s1-mini-superwhispers-462-mb-open-weights-text-normalizer-that-turns-raw-asr-transcri…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Superwhisper 发布了 S1-mini,一款 462MB 的开源文本规范化模型,可将原始语音转录文本转换为干净的书面文本。该模型基于 Qwen3-0.6B 微调而来。

    Superwhisper has released S1-mini, a 462 MB open-weights text normalizer that turns raw speech transcripts into clean written text. Fine-tuned from Qwen3-0.6B, it removes fillers, resolves self-corrections and adds punctuation with 94.8% accuracy. Runs on a laptop CPU under Apach…

  3. r/LocalLLaMA TIER_1 English(EN) · /u/Recoil42 ·

    Superwhisper S1-mini:用于语音转文本输出的 0.6B 参数文本规范化器。

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vswv1j/s1mini_by_superwhisper_a_06bparameter_text/"> <img alt="S1-mini by Superwhisper: A 0.6B-parameter text normalizer for speech-to-text output." src="https://external-preview.redd.it/nX8fn3x_vRmG1s78mx3l5…