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
| % Generated from audited r3 edit counts. | |
| \newcommand{\LibriCleanParakeetWER}{1.53} | |
| \newcommand{\LibriCleanOrukeetWER}{1.46} | |
| \newcommand{\LibriOtherParakeetWER}{3.14} | |
| \newcommand{\LibriOtherOrukeetWER}{2.86} | |
| \newcommand{\FleursEnglishParakeetWER}{4.28} | |
| \newcommand{\FleursEnglishOrukeetWER}{3.82} | |
| \newcommand{\FleursPooledParakeetWER}{11.01} | |
| \newcommand{\FleursPooledOrukeetWER}{9.85} | |
| \newcommand{\DomainPooledParakeetWER}{16.72} | |
| \newcommand{\DomainPooledOrukeetWER}{15.25} | |
| \newcommand{\DomainEnglishParakeetWER}{9.51} | |
| \newcommand{\DomainEnglishOrukeetWER}{8.84} | |
| \newcommand{\FleursMacroParakeetWER}{11.07} | |
| \newcommand{\FleursMacroOrukeetWER}{9.96} | |
| \newcommand{\FleursWins}{23} | |
| \newcommand{\StandardWins}{25} | |
| \newcommand{\DomainWins}{36} | |
| \newcommand{\DomainEnglishWins}{20} | |
| \newcommand{\TestedWins}{61} | |
| \newcommand{\TestedSplits}{74} | |
| \newcommand{\FleursPooledReduction}{10.6} | |