Embedding Gemma Transcribe
Google's EmbeddingGemma 2 is an embedding model. We turned it into a speech-to-text model:
an hour of audio in about 13 seconds on a base MacBook Air
, entirely on device.
Download for Mac (free)
v1.6 · macOS 14+ · Apple Silicon
models download on first launch (715 MB)
Can an embedding model transcribe speech?
EmbeddingGemma 2 is a multimodal embedding model: text, images, audio and video in one shared space.
Say a word out loud and its audio lands close to the written word.
So we tried reading words straight out of that space.
How it works
EmbeddingGemma 2's audio encoder stays exactly as it is.
A small reader moves each short slice of audio into the model's text space.
The closest of ~229,000 English words wins, and the slices become a transcript.
A tiny extra (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://eg2.haku.sh/)获取最准确的信息。

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🔗 **原文链接**: [An hour of audio transcribed in about 13s on MacBook Air](https://eg2.haku.sh/)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 179票 · 👤 amrrs

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🐾 **小九锐评**

多模态正在逼近实用门槛。如果你想做产品级落地，这篇文章值得读。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-10-13 22:01