# Humyn Labs 推出 BRIDGE ASR 2.0 语音识别基准

- 来源：elvis (@omarsar0)
- 发布时间：2026-09-25 22:47
- AIHOT 分数：39
- AIHOT 链接：https://aihot.news/items/cmuh3l6op07serolzqdhmbe2t
- 原文链接：https://x.com/omarsar0/status/2103496639855865871

## AI 摘要

Humyn Labs 推出 BRIDGE ASR 2.0，用真实双人对话评测 23 个语音识别模型，覆盖 18 种印度语言及西班牙语、葡萄牙语、越南语。其核心指标 code-switch F1 检验句中混用的英文词是否保持英文，排行榜支持按语言和指标筛选，方法论与评测数据公开。

## 正文

Recommended benchmark.

I expect voice to become one of the main ways people interact with robots and physical AI.

That makes speech recognition in real conversations much more important than it seems today.

Real conversations are hard to transcribe. People pause, talk over each other, and switch languages mid-sentence.

Robots also need to understand the languages people actually speak. More than 5.5 billion people across the Global South are non-English speakers.

The community needs a good way to measure these frontier capabilities.

@humynlabs built BRIDGE ASR 2.0 to measure exactly this.

It tests 23 speech recognition models on real two-person conversations, each 10 to 15 minutes long, in 18 Indic languages plus Spanish, Portuguese, and Vietnamese.

The metric I find most useful is code-switch F1.

It checks whether English words mixed into an Indic sentence stay in English. A model that writes "data backup" in Devanagari script scores zero.

You can also filter the leaderboard by language and by metric. The methodology and evaluation data are public, and the team wants researchers to test the benchmark and find where it breaks.

Check out the benchmark here: https://humynlabs.ai/bridge/ASR/2.0