oruk/orukeet

automatic-speech-recognition model by oruk

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Nathan Roll1,2 · Irene Yi1,2 · Büşra Marşan1,2 Vianney Grenez1 · Gabriel Stein4 · Momcilo Mrkaic5 Pavle Padjin5 · Vladimir Zeljkovic5 · Calbert Graham1,3 1 Oruk AI 2 Stanford University 3 University of Cambridge 4 OpenWhispr 5 Hoid Orukeet is a 25-language speech recognizer built from NVIDIA Parakeet TDT 0.6B v3. It replaces half of the encoder's temporal depthwise filters with 12,288 fitted, frozen Gabor kernels and trains the remaining parameters on multilingual and multi-accent data. Orukeet outperforms Parakeet on 61 of 74 tested splits, including LibriSpeech test-clean (1.46% vs. 1.53% WER), test-other (2.86% vs. 3.14%), and FLEURS English (3.82% vs. 4.28%). Across all 25 FLEURS languages, pooled WER is 9.85% vs. 11.01%, a 10.6% relative reduction. Final adaptation and checkpoint selection use LibriSpeech test-other. Use Orukeet for recordings, media, batch transcription, server workers and interactive applications. NeMo, ONNX INT8, native Q8 and native F16 all derive from the same…

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Model overview

oruk/orukeet is a automatic-speech-recognition model repository published by oruk on Hugging Face. The source reports the nemo library.

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Model facts

Task: automatic-speech-recognition
Library: nemo
Recent downloads (30 days): 7,833
Cumulative likes: 56
Hugging Face trending score: 53
Reported safetensors parameters: 627,057,286
Architecture: ParakeetForTDT
License: cc-by-sa-4.0
Access: Not gated by Hugging Face
Created: 2026-09-09T05:42:20.000Z
Last modified: 2026-09-17T22:01:09.000Z

Compatibility and lineage

Reported languages: bg, hr, cs, da, nl, en, et, fi, fr, de, el, hu, it, lv, lt, mt, pl, pt, ro, ru, sk, sl, es, sv, uk

Reported base models: nvidia/parakeet-tdt-0.6b-v3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-18T06:35:08.044Z. Daily imports are snapshots, not real-time monitoring.

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