Automatic Speech Recognition
NeMo
GGUF
ONNX
parakeet
tdt
sherpa-onnx
multilingual
speech-recognition
gabor
fastconformer
Instructions to use oruk/orukeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use oruk/orukeet with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("oruk/orukeet") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
| { | |
| "handy-orukeet-cpu": { | |
| "pooled": { | |
| "wer_percent": 5.30209617755857, | |
| "words": 2433, | |
| "substitutions": 104, | |
| "deletions": 10, | |
| "insertions": 15 | |
| }, | |
| "languages": { | |
| "de_de": { | |
| "wer_percent": 4.071246819338422, | |
| "words": 393, | |
| "substitutions": 14, | |
| "deletions": 1, | |
| "insertions": 1 | |
| }, | |
| "en_us": { | |
| "wer_percent": 3.4031413612565444, | |
| "words": 382, | |
| "substitutions": 12, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "es_419": { | |
| "wer_percent": 3.006012024048096, | |
| "words": 499, | |
| "substitutions": 14, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "fr_fr": { | |
| "wer_percent": 4.496788008565311, | |
| "words": 467, | |
| "substitutions": 16, | |
| "deletions": 2, | |
| "insertions": 3 | |
| }, | |
| "ru_ru": { | |
| "wer_percent": 7.238605898123325, | |
| "words": 373, | |
| "substitutions": 20, | |
| "deletions": 2, | |
| "insertions": 5 | |
| }, | |
| "uk_ua": { | |
| "wer_percent": 11.598746081504702, | |
| "words": 319, | |
| "substitutions": 28, | |
| "deletions": 3, | |
| "insertions": 6 | |
| } | |
| } | |
| }, | |
| "handy-orukeet-metal": { | |
| "pooled": { | |
| "wer_percent": 5.343197698314837, | |
| "words": 2433, | |
| "substitutions": 105, | |
| "deletions": 10, | |
| "insertions": 15 | |
| }, | |
| "languages": { | |
| "de_de": { | |
| "wer_percent": 4.071246819338422, | |
| "words": 393, | |
| "substitutions": 14, | |
| "deletions": 1, | |
| "insertions": 1 | |
| }, | |
| "en_us": { | |
| "wer_percent": 3.4031413612565444, | |
| "words": 382, | |
| "substitutions": 12, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "es_419": { | |
| "wer_percent": 3.006012024048096, | |
| "words": 499, | |
| "substitutions": 14, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "fr_fr": { | |
| "wer_percent": 4.496788008565311, | |
| "words": 467, | |
| "substitutions": 16, | |
| "deletions": 2, | |
| "insertions": 3 | |
| }, | |
| "ru_ru": { | |
| "wer_percent": 7.506702412868632, | |
| "words": 373, | |
| "substitutions": 21, | |
| "deletions": 2, | |
| "insertions": 5 | |
| }, | |
| "uk_ua": { | |
| "wer_percent": 11.598746081504702, | |
| "words": 319, | |
| "substitutions": 28, | |
| "deletions": 3, | |
| "insertions": 6 | |
| } | |
| } | |
| }, | |
| "handy-parakeet-metal": { | |
| "pooled": { | |
| "wer_percent": 5.1376900945334985, | |
| "words": 2433, | |
| "substitutions": 107, | |
| "deletions": 13, | |
| "insertions": 5 | |
| }, | |
| "languages": { | |
| "de_de": { | |
| "wer_percent": 3.5623409669211195, | |
| "words": 393, | |
| "substitutions": 13, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "en_us": { | |
| "wer_percent": 4.18848167539267, | |
| "words": 382, | |
| "substitutions": 14, | |
| "deletions": 2, | |
| "insertions": 0 | |
| }, | |
| "es_419": { | |
| "wer_percent": 3.406813627254509, | |
| "words": 499, | |
| "substitutions": 16, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "fr_fr": { | |
| "wer_percent": 4.068522483940043, | |
| "words": 467, | |
| "substitutions": 15, | |
| "deletions": 3, | |
| "insertions": 1 | |
| }, | |
| "ru_ru": { | |
| "wer_percent": 7.774798927613941, | |
| "words": 373, | |
| "substitutions": 23, | |
| "deletions": 5, | |
| "insertions": 1 | |
| }, | |
| "uk_ua": { | |
| "wer_percent": 9.404388714733543, | |
| "words": 319, | |
| "substitutions": 26, | |
| "deletions": 1, | |
| "insertions": 3 | |
| } | |
| } | |
| }, | |
| "orukeet-nemo-reference": { | |
| "pooled": { | |
| "wer_percent": 5.343197698314837, | |
| "words": 2433, | |
| "substitutions": 105, | |
| "deletions": 10, | |
| "insertions": 15 | |
| }, | |
| "languages": { | |
| "de_de": { | |
| "wer_percent": 3.816793893129771, | |
| "words": 393, | |
| "substitutions": 13, | |
| "deletions": 1, | |
| "insertions": 1 | |
| }, | |
| "en_us": { | |
| "wer_percent": 3.4031413612565444, | |
| "words": 382, | |
| "substitutions": 12, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "es_419": { | |
| "wer_percent": 2.80561122244489, | |
| "words": 499, | |
| "substitutions": 13, | |
| "deletions": 1, | |
| "insertions": 0 | |
| }, | |
| "fr_fr": { | |
| "wer_percent": 4.496788008565311, | |
| "words": 467, | |
| "substitutions": 16, | |
| "deletions": 2, | |
| "insertions": 3 | |
| }, | |
| "ru_ru": { | |
| "wer_percent": 7.774798927613941, | |
| "words": 373, | |
| "substitutions": 22, | |
| "deletions": 2, | |
| "insertions": 5 | |
| }, | |
| "uk_ua": { | |
| "wer_percent": 11.912225705329153, | |
| "words": 319, | |
| "substitutions": 29, | |
| "deletions": 3, | |
| "insertions": 6 | |
| } | |
| } | |
| }, | |
| "protocol": { | |
| "clips": 120, | |
| "reference_words": 2433, | |
| "selection": "first 20 FLEURS validation rows in en_us, de_de, es_419, fr_fr, ru_ru, uk_ua", | |
| "manifest_sha256": "ad89c16cb46654215fdaf84507937d38825568991d4b4660036ef8d21b74c92a", | |
| "normalization": "NFKC/casefold; Unicode punctuation/symbols to spaces; collapse whitespace; no number expansion", | |
| "hardware": "Apple M5 Max, 128 GiB, macOS 26.4.1", | |
| "timing": "No comparative speed claim; these native checks were not isolated paired timing runs." | |
| } | |
| } | |