license: other
license_name: openmdw-1.1
license_link: https://openmdw.ai/license/1-1/
language:
- cy
library_name: nemo
pipeline_tag: automatic-speech-recognition
base_model: nvidia/nemotron-3.5-asr-streaming-0.6b
datasets:
- LokaalHub/cy-asr-cv
tags:
- automatic-speech-recognition
- speech
- audio
- cy
- nemo
- fastconformer
- rnnt
- cache-aware-streaming
- nemotron
metrics:
- wer
model-index:
- name: cy-asr-streaming-0.6b
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: LokaalHub/cy-asr-cv (test)
type: LokaalHub/cy-asr-cv
split: test
metrics:
- type: wer
value: 22.48
name: WER (offline / full-context, normalized)
cy-asr-streaming-0.6b
A streaming Welsh (cy) ASR model, fine-tuned from
nvidia/nemotron-3.5-asr-streaming-0.6b on
LokaalHub/cy-asr-cv.
Community fine-tune, not an NVIDIA model. A derivative of NVIDIA's Nemotron 3.5 ASR. NVIDIA did not produce, endorse, or review this model. "Nemotron" is a trademark of NVIDIA, used here only to identify the base model.
TL;DR
Welsh (cy) is not one of the base model's supported locales, so it is fine-tuned conditioned on the closest available slot (en). Fine-tuning on ~50.1h takes WER from ~99.2% to ~22.48%. Prompt slot used during fine-tuning: en (nearest relative).
Results
| Condition | Base | Fine-tuned | Rel. improvement |
|---|---|---|---|
WER (offline, full-context, normalized) on LokaalHub/cy-asr-cv test |
99.2% | 22.48% | 77.3% |
Offline (full-context) WER via NeMo
transcribe_speech.py. Cache-aware streaming WER (the condition NVIDIA headlines) was not measured for this release.
Usage
import nemo.collections.asr as nemo_asr
m = nemo_asr.models.ASRModel.restore_from("model.nemo") # from this repo
m.transcribe(["audio.wav"]) # target_lang prompt: en
Training
Single full fine-tune (init_from_nemo_model), bf16, NoamAnnealing. Data:
LokaalHub/cy-asr-cv (~50.1h train).
Built and trained by the asr-loop pipeline.
Limitations
Low-resource fine-tune on read speech (Common Voice). Evaluated on a 2.0h speaker-disjoint test subset — not directly comparable to published full-Common-Voice-test numbers.