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orukeet

Orukeet: multilingual ASR with fitted, frozen Gabor kernels and native inference

Details

External ID
1362255281
Source
GITHUB
Company
—
Product
orukeet
Website domain
huggingface.co
Launched
Sept. 9, 2026
Cohort
—
Upvotes
40
Upvotes percentile
0.7809377401998463
Tags
automatic-speech-recognition, gabor, gguf, multilingual, parakeet, speech-to-text
Fetched at
Sept. 13, 2026, 5:56 p.m.
Updated at
Sept. 13, 2026, 5:56 p.m.

Enrichment

Theme
ML inference and model optimization
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
multilingual speech recognition model with gabor kernels
Manually corrected
False

Could you build this?

No Orukeet is a research-grade automatic speech recognition (ASR) model implementing fitted, frozen Gabor kernels inside FastConformer/NeMo architectures across 25 languages.

What it would actually take: Requires deep speech ML research expertise, PyTorch/NeMo internals, signal processing (Gabor wavelets), and massive multilingual speech datasets (thousands of hours of audio). Quantizing and building native C++ inference runtimes (sherpa-onnx, transcribe.cpp) requires low-level systems and tensor compiler knowledge.

Competitors

Other products that read as similar to this one — 914 launches clear the similarity bar, closest 8 shown.

Attention rank: #203 of 915 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 314 days after the earliest competitor.

Other launches for this product

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