Hojo-ASR-Multi-V1 上线 Open ASR Leaderboard,开源多语言语音识别平均 WER 3.54%

Rohan Paul · @rohanpaul_ai · X·2026-09-04 04:28·34分钟前
AI 导读

HojoAI 的 Hojo-ASR-Multi-V1 正式上线 Open ASR Leaderboard,全球排名第 7、开源多语言 ASR 第 1,五语言平均 WER 3.54%。

Rohan Paul@rohanpaul_ai
34AI 编辑部评分,满分 100

Hojo-ASR-Multi-V1 上线 Open ASR Leaderboard,开源多语言语音识别平均 WER 3.54%

2026-09-04 04:28· 34分钟前
AI 导读

HojoAI 的 Hojo-ASR-Multi-V1 正式上线 Open ASR Leaderboard,全球排名第 7、开源多语言 ASR 第 1,五语言平均 WER 3.54%。

My criteria for buying tech have changed a lot over the years.

The biggest limitation of the smartphone might be that it requires your attention.

Almost every useful action begins the same way: pull it out, unlock it, find something, interact with a screen.

AI hardware has a chance to break that loop. If a device can understand enough context to know when to listen, capture, surface, or act, the screen stops being the center of the product.

Also, a device doesn't need hundreds of apps if it understands the one environment it was built for.

That makes specialization much more economically interesting than it was ten years ago.

Instead of asking, “How many things can this device do?” I want to ask, “How little interaction does this one job require?”

That’s also why something like HojoAI/Hojo-ASR-Multi-V1 from @hojoHQ is worth looking at through a hardware lens.

An open multilingual speech layer potentially changes what you can build around a very narrow use case.

HojoAI#7 globally. #1 open multilingual ASR model. Hojo-ASR-Multi-V1 is officially live on the Open ASR Leaderboard. With an average WER of 3.54% across five language...