Automatic Speech Recognition
NeMo
ONNX
GGUF
parakeet
tdt
sherpa-onnx
multilingual
speech-recognition
gabor
fastconformer
Instructions to use aoiandroid/orukeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use aoiandroid/orukeet with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("aoiandroid/orukeet") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download report/references.bib from aoiandroid/orukeet: direct link, hf CLI and curl.
- Browser
- Download file 2.5 kB
-
https://huggingface.co/aoiandroid/orukeet/resolve/main/report/references.bib
- Command line
-
hf download hf://aoiandroid/orukeet/report/references.bib
-
curl -L -o references.bib https://huggingface.co/aoiandroid/orukeet/resolve/main/report/references.bib
2.5 kB
| @misc{parakeet, | |
| author={{NVIDIA}}, title={Parakeet TDT 0.6B v3: Model Card}, year={2025}, | |
| url={https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3}, note={Accessed September 6, 2026}} | |
| @article{fastconformer, | |
| author={Rekesh, Dima and Koluguri, Nithin Rao and Kriman, Samuel and others}, | |
| title={Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition}, | |
| journal={arXiv:2305.05084}, year={2023}, url={https://arxiv.org/abs/2305.05084}} | |
| @inproceedings{tdt, | |
| author={Xu, Hainan and Jia, Fei and Majumdar, Somshubra and Huang, He and Watanabe, Shinji and Ginsburg, Boris}, | |
| title={Efficient Sequence Transduction by Jointly Predicting Tokens and Durations}, | |
| booktitle={ICML}, year={2023}, url={https://proceedings.mlr.press/v202/xu23g.html}} | |
| @inproceedings{leaf, | |
| author={Zeghidour, Neil and Teboul, Olivier and de Chaumont Quitry, F{\'e}lix and Tagliasacchi, Marco}, | |
| title={{LEAF}: A Learnable Frontend for Audio Classification}, booktitle={ICLR}, year={2021}, | |
| url={https://openreview.net/forum?id=jM76BCb6F9m}} | |
| @inproceedings{sincnet, | |
| author={Ravanelli, Mirco and Bengio, Yoshua}, | |
| title={Speaker Recognition from Raw Waveform with {SincNet}}, booktitle={SLT}, year={2018}, | |
| url={https://arxiv.org/abs/1808.00158}} | |
| @misc{fleurs, | |
| author={Conneau, Alexis and Ma, Min and Khanuja, Simran and others}, | |
| title={{FLEURS}: Few-shot Learning Evaluation of Universal Representations of Speech}, | |
| year={2022}, howpublished={arXiv:2205.12446}, url={https://arxiv.org/abs/2205.12446}} | |
| @inproceedings{librispeech, | |
| author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev}, | |
| title={{LibriSpeech}: An {ASR} Corpus Based on Public Domain Audio Books}, | |
| booktitle={ICASSP}, pages={5206--5210}, year={2015}, | |
| doi={10.1109/ICASSP.2015.7178964}, url={https://www.openslr.org/12}} | |
| @misc{native, | |
| author={{NVIDIA}}, title={{NeMo-Speech.cpp}, version 0.1.0}, year={2026}, | |
| url={https://github.com/NVIDIA/NeMo-Speech.cpp/tree/v0.1.0}} | |
| @inproceedings{pruning, | |
| author={Jiang, Huiqiang and Zhang, Li Lyna and Li, Yuang and others}, | |
| title={Accurate and Structured Pruning for Efficient Automatic Speech Recognition}, | |
| booktitle={Interspeech}, year={2023}, url={https://arxiv.org/abs/2305.19549}} | |
| @inproceedings{sarwar, | |
| title={Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks}, | |
| author={Sarwar, Syed Shakib and Panda, Priyadarshini and Roy, Kaushik}, | |
| booktitle={ISLPED}, | |
| year={2017}, | |
| url={https://arxiv.org/abs/1705.04748} | |
| } | |