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
| @techreport{roll2026orukeet, | |
| title = {{Orukeet}: Multilingual {ASR} with Frozen {Gabor} Kernels}, | |
| author = {Roll, Nathan and | |
| Yi, Irene and | |
| Mar{\c{s}}an, B{\"u}{\c{s}}ra and | |
| Grenez, Vianney and | |
| Stein, Gabriel and | |
| Mrkaic, Momcilo and | |
| Padjin, Pavle and | |
| Zeljkovic, Vladimir and | |
| Graham, Calbert}, | |
| institution = {Oruk AI}, | |
| year = {2026}, | |
| type = {Technical report}, | |
| url = {https://github.com/Oruk-AI/orukeet/blob/main/output/pdf/orukeet-technical-report.pdf} | |
| } | |