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
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message: If you use Orukeet, cite the technical report below and retain the NVIDIA Parakeet attribution.
title: 'Orukeet: Multilingual ASR with Frozen Gabor Kernels'
type: software
authors: &id001
- given-names: Nathan
family-names: Roll
affiliation: Oruk AI; Stanford University
- given-names: Irene
family-names: Yi
affiliation: Oruk AI; Stanford University
- given-names: Büşra
family-names: Marşan
affiliation: Oruk AI; Stanford University
- given-names: Vianney
family-names: Grenez
affiliation: Oruk AI
- given-names: Gabriel
family-names: Stein
affiliation: OpenWhispr
- given-names: Momcilo
family-names: Mrkaic
affiliation: Hoid
- given-names: Pavle
family-names: Padjin
affiliation: Hoid
- given-names: Vladimir
family-names: Zeljkovic
affiliation: Hoid
- given-names: Calbert
family-names: Graham
affiliation: Oruk AI; University of Cambridge
version: 0.1.0
repository-code: https://github.com/Oruk-AI/orukeet
license: MIT
abstract: 'A Parakeet-derived multilingual recognizer with 12,288 fitted, frozen temporal Gabor kernels.
Code: MIT. Weights: CC BY-SA 4.0.'
preferred-citation:
type: report
title: 'Orukeet: Multilingual ASR with Frozen Gabor Kernels'
authors: *id001
institution:
name: Oruk AI
year: 2026
url: https://github.com/Oruk-AI/orukeet/blob/main/output/pdf/orukeet-technical-report.pdf
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