Khmer speech-to-text

Measured accuracy

Returns nothing. The model lists this language, but our test clips came back as empty transcripts. Scored on characters. The clips are clean, single-speaker read speech, so treat this as a best case for your own recordings. How we measured, and all 83 languages.

What a transcript looks like

The clip with the median error rate from the test, reference text against what the API returned.

Language detection

All 10 clips we sent without a language field were identified as Khmer. Auto-detection is safe here; sending language=km still skips the detection step.

What to do instead

We would rather you know this before you build than after. For Khmer, look at services that train specifically on the language, such as Google Cloud Speech-to-Text or Azure AI Speech, both of which publish their language lists, or a Whisper checkpoint fine-tuned on Khmer from Hugging Face run on your own hardware. If your audio mixes Khmer with a well-supported language, the well-supported parts will still transcribe. You can confirm all of this on your own audio with the free credit on a new account: transcription playground.

FAQ

How accurate is Whisper for Khmer?

On this endpoint it is not usable: 30 of 30 Khmer test clips came back as empty transcripts.

Does language auto-detection work for Khmer?

In our test, yes: all 10 clips sent without a language were identified as Khmer. Sending language=km still saves the detection step on every request.

Can it translate Khmer speech to English?

The API returns Khmer text. For English, transcribe first and translate the text with a chat model on the same key; with accuracy this low the translation will inherit the errors.

Related languages: Thai (12%) · Lao (over 100%) · Vietnamese (7.9%)