sarpba/hu-asr-benchmark-cv22-test
Hungarian ASR benchmark — accuracy & speed (2026-10-25) A reproducible benchmark of Hungarian automatic speech recognition models on a fixed 2 000-utterance subset (3.106 h) of the CommonVoice-22 Hungarian test split, measured with a frozen Hungarian text normalizer (NORM_V=2), greedy text-only decoding, on one NVIDIA RTX 3090. Magyarul: magyar ASR modellek pontosságának (WER/CER) és sebességének (x-factor/RTF) reprodukálható benchmarkja; a riportok, a mérési scriptek, a… See the full description on the dataset page: https://huggingface.co/datasets/sarpba/hu-asr-benchmark-cv22-test.
| Author / organization | sarpba |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 October 2026 |
| Last updated at source | 25 October 2026 |
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