REPOGEO REPORT · LITE
FireRedTeam/FireRedASR2S
Default branch main · commit 4e7d9aaf · scanned 6/4/2026, 2:28:11 AM
GitHub: 533 stars · 37 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface FireRedTeam/FireRedASR2S, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition and clarify the README's introductory text
Why:
CURRENT<div align="center"> <h1> FireRedASR2S <br> A SOTA Industrial-Grade All-in-One ASR System </h1> </div> [[Paper]](https://arxiv.org/pdf/2603.10420) [[Model🤗]](https://huggingface.co/collections/FireRedTeam/fireredasr2s) [[Model🤖]](https://www.modelscope.cn/collections/xukaituo/FireRedASR2S) [[Demo]](https://huggingface.co/spaces/FireRedTeam/FireRedASR2S) FireRedASR2S is a state-of-the-art (SOTA), industrial-grade, all-in-one ASR system with ASR, VAD, LID, and Punc modules.
COPY-PASTE FIX<div align="center"> <h1> FireRedASR2S <br> A SOTA Industrial-Grade All-in-One ASR System </h1> </div> FireRedASR2S is a state-of-the-art (SOTA), industrial-grade, all-in-one ASR system with ASR, VAD, LID, and Punc modules. It is designed for advanced Automatic Speech Recognition (ASR) tasks and is not related to cybersecurity or red teaming. [[Paper]](https://arxiv.org/pdf/2603.10420) [[Model🤗]](https://huggingface.co/collections/FireRedTeam/fireredasr2s) [[Model🤖]](https://www.modelscope.cn/collections/xukaituo/FireRedASR2S) [[Demo]](https://huggingface.co/spaces/FireRedTeam/FireRedASR2S)
- highhomepage#2Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIXhttps://huggingface.co/spaces/FireRedTeam/FireRedASR2S
- mediumtopics#3Add broader machine learning and programming language topics
Why:
CURRENTasr, asr-pipeline, audio-event-classification, audio-event-detection, automatic-speech-recognition, industrial-grade, language-identification, lid, llm, multimodal-llm, open-source, punctuation-prediction, punctuation-restoration, sota, speech-recognition, speechllm, vad, voice-activity-detection
COPY-PASTE FIXasr, asr-pipeline, audio-event-classification, audio-event-detection, automatic-speech-recognition, deep-learning, industrial-grade, language-identification, lid, llm, machine-learning, multimodal-llm, open-source, python, punctuation-prediction, punctuation-restoration, sota, speech-recognition, speechllm, vad, voice-activity-detection
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Deepgram · recommended 2×
- AssemblyAI · recommended 2×
- Google Cloud Speech-to-Text API · recommended 1×
- Amazon Transcribe · recommended 1×
- Microsoft Azure Cognitive Services - Speech · recommended 1×
- CATEGORY QUERYLooking for an industrial-grade, all-in-one speech recognition system with voice activity detection and language identification.you: not recommendedAI recommended (in order):
- Google Cloud Speech-to-Text API
- Amazon Transcribe
- Microsoft Azure Cognitive Services - Speech
- Nuance Communications
- Deepgram
- AssemblyAI
- OpenAI Whisper
- WebRTC VAD
AI recommended 8 alternatives but never named FireRedTeam/FireRedASR2S. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a robust solution for transcribing both speech and singing, including Chinese dialects and English, with punctuation.you: not recommendedAI recommended (in order):
- OpenAI Whisper (openai/whisper)
- Google Cloud Speech-to-Text
- AssemblyAI
- AWS Transcribe
- Microsoft Azure Speech-to-Text
- Deepgram
AI recommended 6 alternatives but never named FireRedTeam/FireRedASR2S. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of FireRedTeam/FireRedASR2S?passAI named FireRedTeam/FireRedASR2S explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts FireRedTeam/FireRedASR2S in production, what risks or prerequisites should they evaluate first?passAI named FireRedTeam/FireRedASR2S explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo FireRedTeam/FireRedASR2S solve, and who is the primary audience?passAI named FireRedTeam/FireRedASR2S explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of FireRedTeam/FireRedASR2S. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/FireRedTeam/FireRedASR2S)<a href="https://repogeo.com/en/r/FireRedTeam/FireRedASR2S"><img src="https://repogeo.com/badge/FireRedTeam/FireRedASR2S.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
FireRedTeam/FireRedASR2S — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite