REPOGEO REPORT · LITE
chenkui164/FastASR
Default branch main · commit d09f98c8 · scanned 6/12/2026, 10:46:47 PM
GitHub: 552 stars · 81 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 chenkui164/FastASR, 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.
- hightopics#1Add more specific topics to improve category matching
Why:
CURRENTspeech-recognition
COPY-PASTE FIXspeech-recognition, asr, c-plus-plus, embedded-systems, arm, inference, real-time, low-latency, edge-ai, speech-to-text
- highreadme#2Add a 'Key Features' section to explicitly highlight core differentiators
Why:
COPY-PASTE FIXAdd this section immediately after the H1: ``` ## 核心特性 (Key Features) * **纯C++实现**: 专为高性能推理优化,不依赖Python或深度学习框架。 * **极低依赖**: 简化安装和部署流程。 * **超快推理速度**: 满足实时性要求,即使在CPU上也能流畅运行。 * **ARM平台优化**: 在树莓派4B等嵌入式设备上表现出色。 * **高识别准确率**: 模型基于大规模数据集训练,媲美商用ASR软件。 * **支持流式与非流式模型**: 灵活适应不同应用场景。 ```
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXAdd a link to the project's official website, documentation, or a relevant project page (e.g., the GitHub repository URL itself if no external site exists) in the repository settings.
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.
- Picovoice Rhino Speech-to-Intent · recommended 2×
- Mozilla DeepSpeech · recommended 2×
- Vosk API · recommended 1×
- Picovoice Porcupine Wake Word · recommended 1×
- ONNX Runtime · recommended 1×
- CATEGORY QUERYLooking for a fast, low-dependency C++ library for accurate speech recognition on ARM devices.you: not recommendedAI recommended (in order):
- Vosk API
- Picovoice Rhino Speech-to-Intent
- Picovoice Porcupine Wake Word
- Mozilla DeepSpeech
- ONNX Runtime
- OpenVINO Toolkit
- TensorFlow Lite
AI recommended 7 alternatives but never named chenkui164/FastASR. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best open-source C++ speech-to-text engines for embedded systems with high accuracy?you: not recommendedAI recommended (in order):
- Vosk
- Mozilla DeepSpeech
- Picovoice Rhino Speech-to-Intent
- Kaldi
- ESP-IDF Speech Recognition
AI recommended 5 alternatives but never named chenkui164/FastASR. 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 chenkui164/FastASR?passAI named chenkui164/FastASR explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts chenkui164/FastASR in production, what risks or prerequisites should they evaluate first?passAI named chenkui164/FastASR 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 chenkui164/FastASR solve, and who is the primary audience?passAI named chenkui164/FastASR 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 chenkui164/FastASR. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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chenkui164/FastASR — 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