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
File size: 2,498 Bytes
88287a0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | @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}
}
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