Falcon ASR: Arabic speech, word by word

Transcript

The original narration, preserved as published. Relative dates refer to the episode’s coverage window.

Falcon’s new speech model focuses on Arabic as people actually speak it, especially Emirati. T I I announced Falcon A S R yesterday, October seventh.

It’s a one point six billion parameter model that turns audio into text. Word-level timestamps connect each transcribed word to its place in the recording.

T I I reports twenty point nine two percent word error across six Arabic test sets. Its comparison uses a September thirtieth leaderboard snapshot. That’s an author evaluation, and it still leaves errors.

The same model also supports English, French, Spanish, and Portuguese. You don’t need a language flag. It produces a transcript in the language being spoken.

You can try a public Hugging Face demo now. API access and native apps are planned, so this announcement isn’t a finished transcription service you can already plug into production.

For interviews or calls, dialect, background noise, and people switching languages can matter as much as a headline score. A word timestamp can help you return to the original recording and check what was said.