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Omnilingual-ASR-Khm
Darayut/Omnilingual-ASR-Khm
Omnilingual-ASR-Khm is a automatic speech recognition model from Darayut. Use it when you need speech turned into text. The card lists the license as mit.
A CTC speech-recognition model for Khmer, built on top of Meta's Omnilingual ASR 300M encoder with a custom cluster-level vocabulary and a self-conditioned CTC head.
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At a glance
- Task
- Automatic Speech Recognition
- License
- mit
- Access
- Public
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026
- SHA
- 637c8653
Model card
From the Hugging Face model README
Omnilingual-ASR-Khm
A CTC speech-recognition model for Khmer, built on top of Meta's Omnilingual ASR 300M encoder with a custom cluster-level vocabulary and a self-conditioned CTC head.
Training
The model is produced in two phases:
- Pretrain -- the CTC head and encoder are trained from scratch (the
encoder initialized from the public
omniASR_CTC_300Mcheckpoint) on a Khmer speech corpus. - Fine-tune -- the pretrained checkpoint is further trained on Khmer-English code-switching data.
Both phases' configs and training scripts are in this model's source repository.
Results
CER on held-out evaluation sets (lower is better):
| split | CER | WER |
|---|---|---|
| val | 2.24% | 7.62% |
| test_fleurs | 12.03% | 25.66% |
| test_slr42 | 14.82% | 48.62% |
Usage
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
weights = hf_hub_download("Darayut/Omnilingual-ASR-Khm", "model.safetensors")
config = hf_hub_download("Darayut/Omnilingual-ASR-Khm", "config.json")
vocab = hf_hub_download("Darayut/Omnilingual-ASR-Khm", "vocab.json")
See scripts/inference/transcribe.py in the source repository for a complete
loading + decoding example.
License
MIT.
- Task
- Automatic Speech Recognition
- License
- mit
- Languages
- km
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026