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
| { | |
| "status": "passed", | |
| "publication_authorized": false, | |
| "models": { | |
| "parakeet": "3cbdc85877e668ca7b82d0d56770eb1fac76691f55d6b97545e8d61ca588d10d", | |
| "orukeet": "031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56" | |
| }, | |
| "summaries": { | |
| "fleurs": { | |
| "splits": [ | |
| "fleurs_bg", | |
| "fleurs_cs", | |
| "fleurs_da", | |
| "fleurs_de", | |
| "fleurs_el", | |
| "fleurs_en", | |
| "fleurs_es", | |
| "fleurs_et", | |
| "fleurs_fi", | |
| "fleurs_fr", | |
| "fleurs_hr", | |
| "fleurs_hu", | |
| "fleurs_it", | |
| "fleurs_lt", | |
| "fleurs_lv", | |
| "fleurs_mt", | |
| "fleurs_nl", | |
| "fleurs_pl", | |
| "fleurs_pt", | |
| "fleurs_ro", | |
| "fleurs_ru", | |
| "fleurs_sk", | |
| "fleurs_sl", | |
| "fleurs_sv", | |
| "fleurs_uk" | |
| ], | |
| "rows": 20146, | |
| "models": { | |
| "parakeet": { | |
| "errors": 46442, | |
| "words": 421870, | |
| "substitutions": 38136, | |
| "deletions": 5461, | |
| "insertions": 2845, | |
| "chars": 2757813, | |
| "char_errors": 98352, | |
| "utterance_error": 14637, | |
| "wer": 11.008604546424253, | |
| "cer": 3.5663041692819637 | |
| }, | |
| "orukeet": { | |
| "errors": 41521, | |
| "words": 421715, | |
| "substitutions": 34613, | |
| "deletions": 3955, | |
| "insertions": 2953, | |
| "chars": 2757813, | |
| "char_errors": 86408, | |
| "utterance_error": 13762, | |
| "wer": 9.845748906251853, | |
| "cer": 3.133207363951073 | |
| } | |
| }, | |
| "wins": 23, | |
| "ties": 0, | |
| "losses": 2, | |
| "relative_wer_reduction_percent": 10.563152080434325 | |
| }, | |
| "standard": { | |
| "splits": [ | |
| "fleurs_bg", | |
| "fleurs_cs", | |
| "fleurs_da", | |
| "fleurs_de", | |
| "fleurs_el", | |
| "fleurs_en", | |
| "fleurs_es", | |
| "fleurs_et", | |
| "fleurs_fi", | |
| "fleurs_fr", | |
| "fleurs_hr", | |
| "fleurs_hu", | |
| "fleurs_it", | |
| "fleurs_lt", | |
| "fleurs_lv", | |
| "fleurs_mt", | |
| "fleurs_nl", | |
| "fleurs_pl", | |
| "fleurs_pt", | |
| "fleurs_ro", | |
| "fleurs_ru", | |
| "fleurs_sk", | |
| "fleurs_sl", | |
| "fleurs_sv", | |
| "fleurs_uk", | |
| "librispeech_test_clean", | |
| "librispeech_test_other" | |
| ], | |
| "rows": 25705, | |
| "models": { | |
| "parakeet": { | |
| "errors": 48914, | |
| "words": 527711, | |
| "substitutions": 40179, | |
| "deletions": 5631, | |
| "insertions": 3104, | |
| "chars": 3309718, | |
| "char_errors": 103604, | |
| "utterance_error": 16201, | |
| "wer": 9.269088573101564, | |
| "cer": 3.130296901427856 | |
| }, | |
| "orukeet": { | |
| "errors": 43804, | |
| "words": 527556, | |
| "substitutions": 36526, | |
| "deletions": 4118, | |
| "insertions": 3160, | |
| "chars": 3309718, | |
| "char_errors": 91222, | |
| "utterance_error": 15227, | |
| "wer": 8.303194352827, | |
| "cer": 2.756186478727191 | |
| } | |
| }, | |
| "wins": 25, | |
| "ties": 0, | |
| "losses": 2, | |
| "relative_wer_reduction_percent": 10.420595430251279 | |
| }, | |
| "domains": { | |
| "splits": [ | |
| "eurospeech_bg", | |
| "eurospeech_de", | |
| "eurospeech_el", | |
| "eurospeech_en", | |
| "eurospeech_et", | |
| "eurospeech_fi", | |
| "eurospeech_fr", | |
| "eurospeech_hr", | |
| "eurospeech_it", | |
| "eurospeech_lt", | |
| "eurospeech_lv", | |
| "eurospeech_mt", | |
| "eurospeech_pt", | |
| "eurospeech_sk", | |
| "eurospeech_sl", | |
| "eurospeech_uk", | |
| "gigaspeechbench_agr_en", | |
| "gigaspeechbench_ait_en", | |
| "gigaspeechbench_art_en", | |
| "gigaspeechbench_bio_en", | |
| "gigaspeechbench_chn_en", | |
| "gigaspeechbench_ecm_en", | |
| "gigaspeechbench_eng_en", | |
| "gigaspeechbench_ent_en", | |
| "gigaspeechbench_fin_en", | |
| "gigaspeechbench_hum_en", | |
| "gigaspeechbench_ind_en", | |
| "gigaspeechbench_jpn_en", | |
| "gigaspeechbench_law_en", | |
| "gigaspeechbench_med_en", | |
| "gigaspeechbench_mil_en", | |
| "gigaspeechbench_phl_en", | |
| "gigaspeechbench_sct_en", | |
| "gigaspeechbench_sgp_en", | |
| "golos_crowd_ru", | |
| "golos_farfield_ru", | |
| "lesbos_el", | |
| "monsoon_en_in", | |
| "nst_da_da", | |
| "nst_sv_sv", | |
| "voxpopuli_cs", | |
| "voxpopuli_es", | |
| "voxpopuli_hu", | |
| "voxpopuli_it", | |
| "voxpopuli_nl", | |
| "voxpopuli_pl", | |
| "voxpopuli_ro" | |
| ], | |
| "rows": 12006, | |
| "models": { | |
| "parakeet": { | |
| "errors": 43939, | |
| "words": 262747, | |
| "substitutions": 26343, | |
| "deletions": 8233, | |
| "insertions": 9363, | |
| "chars": 1584470, | |
| "char_errors": 141363, | |
| "utterance_error": 8290, | |
| "wer": 16.72293118475187, | |
| "cer": 8.921784571497094 | |
| }, | |
| "orukeet": { | |
| "errors": 40068, | |
| "words": 262698, | |
| "substitutions": 23458, | |
| "deletions": 7145, | |
| "insertions": 9465, | |
| "chars": 1584470, | |
| "char_errors": 129717, | |
| "utterance_error": 8039, | |
| "wer": 15.25249526071763, | |
| "cer": 8.186775388615752 | |
| } | |
| }, | |
| "wins": 36, | |
| "ties": 0, | |
| "losses": 11, | |
| "relative_wer_reduction_percent": 8.792931740190369 | |
| }, | |
| "domain_english": { | |
| "splits": [ | |
| "eurospeech_en", | |
| "gigaspeechbench_agr_en", | |
| "gigaspeechbench_ait_en", | |
| "gigaspeechbench_art_en", | |
| "gigaspeechbench_bio_en", | |
| "gigaspeechbench_chn_en", | |
| "gigaspeechbench_ecm_en", | |
| "gigaspeechbench_eng_en", | |
| "gigaspeechbench_ent_en", | |
| "gigaspeechbench_fin_en", | |
| "gigaspeechbench_hum_en", | |
| "gigaspeechbench_ind_en", | |
| "gigaspeechbench_jpn_en", | |
| "gigaspeechbench_law_en", | |
| "gigaspeechbench_med_en", | |
| "gigaspeechbench_mil_en", | |
| "gigaspeechbench_phl_en", | |
| "gigaspeechbench_sct_en", | |
| "gigaspeechbench_sgp_en", | |
| "monsoon_en_in" | |
| ], | |
| "rows": 5120, | |
| "models": { | |
| "parakeet": { | |
| "errors": 9032, | |
| "words": 94993, | |
| "substitutions": 4421, | |
| "deletions": 1646, | |
| "insertions": 2965, | |
| "chars": 498262, | |
| "char_errors": 29760, | |
| "utterance_error": 2806, | |
| "wer": 9.508069015611676, | |
| "cer": 5.972761318342559 | |
| }, | |
| "orukeet": { | |
| "errors": 8399, | |
| "words": 94993, | |
| "substitutions": 4193, | |
| "deletions": 1490, | |
| "insertions": 2716, | |
| "chars": 498262, | |
| "char_errors": 27417, | |
| "utterance_error": 2692, | |
| "wer": 8.841704125567148, | |
| "cer": 5.502526783098049 | |
| } | |
| }, | |
| "wins": 20, | |
| "ties": 0, | |
| "losses": 0, | |
| "relative_wer_reduction_percent": 7.008414526129303 | |
| } | |
| }, | |
| "checks": [ | |
| "Fresh matched decoding of both checkpoints", | |
| "All 74 paired split results recomputed from per-record counts", | |
| "Pooled WER recomputed from summed errors and reference words", | |
| "Independent upstream scoring matches all 148 model/partition pairs", | |
| "Rendered abstract and all 74 benchmark rows match the current checkpoint evidence" | |
| ], | |
| "inputs_sha256": { | |
| "evidence/standard-asr-r3-20260908/comparison.json": "9b2702bfe9c7b107db1627df3cb71d24d25d4eb8da0ee8683b0bbf9f994ca7da", | |
| "evidence/standard-asr-r3-20260908/hypotheses-audit.json": "a60177ac2ac1064b481cc85424d5ee989cca43112191ddae30d60b7f56ae57d3", | |
| "evidence/standard-asr-r3-20260908/numeric-evidence.jsonl.gz": "3d1467e56efd6769da1f8cb74eef0c3eac7bf93fa8200c39538963a9d4b080c1", | |
| "evidence/domains-r3-20260908/comparison.json": "617a2119027b9e706907fdeb8a5819babb55f1959456d677e744d2b57ddfd2be", | |
| "evidence/domains-r3-20260908/hypotheses-audit.json": "66c748f9ea625cf38e9bf672628e95300a5919abbaf47ebfd7c4800f5b1f3116", | |
| "evidence/domains-r3-20260908/numeric-evidence.jsonl.gz": "298f3164c745523f25b2e7df25492dab5b6607c149ea561d44af3720c29236df" | |
| }, | |
| "pdf_sha256": "401d162a87d4454b0f16998bf3501b9c84da909a7b5be353705528477d2eef62" | |
| } | |