Automatic Speech Recognition
NeMo
ONNX
Safetensors
GGUF
parakeet_tdt
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
Update README.md
Browse files
README.md
CHANGED
|
@@ -183,21 +183,11 @@ Code: MIT. Weights and fitted kernels: CC BY-SA 4.0, retaining NVIDIA's foundati
|
|
| 183 |
## Citation
|
| 184 |
|
| 185 |
```bibtex
|
| 186 |
-
@
|
| 187 |
-
title
|
| 188 |
-
author
|
| 189 |
-
|
| 190 |
-
|
| 191 |
-
Grenez, Vianney and
|
| 192 |
-
Stein, Gabriel and
|
| 193 |
-
Mrkaic, Momcilo and
|
| 194 |
-
Padjin, Pavle and
|
| 195 |
-
Zeljkovic, Vladimir and
|
| 196 |
-
Graham, Calbert},
|
| 197 |
-
institution = {Oruk AI},
|
| 198 |
-
year = {2026},
|
| 199 |
-
type = {Technical report},
|
| 200 |
-
url = {https://github.com/Oruk-AI/orukeet/blob/main/output/pdf/orukeet-technical-report.pdf}
|
| 201 |
}
|
| 202 |
```
|
| 203 |
|
|
|
|
| 183 |
## Citation
|
| 184 |
|
| 185 |
```bibtex
|
| 186 |
+
@article{roll2026orukeet,
|
| 187 |
+
title={Orukeet: Multilingual ASR with Frozen Gabor Kernels},
|
| 188 |
+
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},
|
| 189 |
+
journal={arXiv preprint arXiv:2609.10054},
|
| 190 |
+
year={2026}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 191 |
}
|
| 192 |
```
|
| 193 |
|