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
File size: 562 Bytes
769e303 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | @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}
}
|