Thareah/Tha-ASR

AI model by Thareah

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Tha-ASR is a Whisper-small model fine-tuned to transcribe Khmer, English, and Khmer–English code-switched speech, where both languages are mixed in the same sentence. It writes Khmer in Khmer script and English in Latin script, with punctuation. Compared with the previous version (v1), this release cuts the English word error rate from 11.1 % to 8.3 % and the code-switch character error rate from 14.1 % to 4.5 %, and is slightly better on Khmer. All test sets are held out: no training utterance shares its text with a test or dev sentence. How it was measured. Clean audio, beam search with 5 beams, batch size 4, maxnewtokens=440, and the language token set to each test set's language. Khmer is scored with CER after Unicode NFC normalisation, removing zero-width characters, and ignoring spaces and punctuation (Khmer has no reliable word spacing, so WER is not meaningful). English is scored with WER…

Thareah/Tha-ASR on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Tha-ASR: Khmer + English speech recognition
  2. Evaluation
  3. How to use
  4. Transcribe a clip (up to 30 s)
  5. Detect Khmer or English automatically
  6. Long recordings
  7. Training
  8. Data
  9. Procedure
  10. Limitations
  11. License and acknowledgements
  12. Citation

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Model overview

Thareah/Tha-ASR is a task-unspecified model repository published by Thareah on Hugging Face. A library was not reported.

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License
mit
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Created
2026-10-26T06:03:06.000Z
Last modified
2026-10-26T06:03:06.000Z

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