Thareah/Tha-ASR
AI model by Thareah
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From the publisher
Model card & documentation
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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…
Read the full model card ↗ · Preview checked 2026-10-31T03:39:12.336Z
Inside the original model card — Document outline
- Tha-ASR: Khmer + English speech recognition
- Evaluation
- How to use
- Transcribe a clip (up to 30 s)
- Detect Khmer or English automatically
- Long recordings
- Training
- Data
- Procedure
- Limitations
- License and acknowledgements
- 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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Model facts
- Task
- Not reported
- Library
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- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
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- Reported safetensors parameters
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- Architecture
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- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-26T06:03:06.000Z
- Last modified
- 2026-10-26T06:03:06.000Z
Compatibility and lineage
Language coverage was not reported.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.
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