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nemotron-asr-streaming-farsi

Streaming Persian (Farsi) speech recognition: fine-tuning NVIDIA Nemotron 3.5 ASR streaming. Data prep, training, evaluation, inference.

This is 1 of 174 launches in conversational voice AI and infrastructure — see how it stacks up on momentum and crowding →

138 other launches read as similar to this one →

Details

External ID
1403306223
Source
GITHUB
Company
—
Product
nemotron-asr-streaming-farsi
Website domain
huggingface.co
Launched
Oct. 3, 2026
Cohort
—
Upvotes
43
Upvotes percentile
0.6538871139510117
Tags
asr, asr-model, persian, speech-recognition, speech-to-text, stt
Fetched at
Oct. 5, 2026, 1:02 a.m.
Updated at
Oct. 5, 2026, 1:02 a.m.

Enrichment

Theme
conversational voice AI and infrastructure
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
fine-tuning pipeline for streaming persian speech recognition
Manually corrected
False

Could you build this?

Partial While wrapping the pre-trained Hugging Face model in an API is trivial, fine-tuning and deploying a low-latency streaming ASR model requires significant ML infrastructure and domain datasets.

What it would actually take: Requires NVIDIA NeMo framework, streaming FastConformer/RNN-T architecture, tens of thousands of hours of annotated Persian speech audio, and multi-GPU training clusters. The hard parts are streaming audio feature chunking, cache-aware latency tuning, and acquiring clean Persian audio data.

Competitors

Other products that read as similar to this one — 138 launches clear the similarity bar, closest 8 shown.

Attention rank: #39 of 139 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 326 days after the earliest competitor.

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