RRepoGEO

REPOGEO REPORT · LITE

sooftware/kospeech

Default branch latest · commit 984b5890 · scanned 6/2/2026, 1:32:25 PM

GitHub: 637 stars · 191 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 sooftware/kospeech, 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.

OVERALL DIRECTION
  • highreadme#1
    Rephrase the 'archived' statement in the README

    Why:

    CURRENT
    #### This repository archived. If the reason why you found this repo is below, I will recommend a different repository for each reason.
    COPY-PASTE FIX
    While this repository is no longer under active development for new features, it remains a valuable resource for understanding end-to-end Korean ASR models. For new projects, we recommend exploring OpenSpeech, Pororo ASR, or Whisper.
  • mediumreadme#2
    Add 'Korean' to the initial bold statement in the README

    Why:

    CURRENT
    **An Apache 2.0 ASR research library, built on PyTorch, for developing end-to-end speech recognition models.**
    COPY-PASTE FIX
    **An Apache 2.0 ASR research library, built on PyTorch, for developing end-to-end Korean speech recognition models.**
  • lowreadme#3
    Add a 'Project Status' section to the README

    Why:

    COPY-PASTE FIX
    ## Project Status

This repository is currently in maintenance mode, meaning no new features are actively being developed. It serves as a valuable historical reference and a foundation for understanding end-to-end Korean ASR models. For active development and new projects, please refer to the recommended alternatives in the introduction.

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.

Recall
0 / 2
0% of queries surface sooftware/kospeech
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ESPnet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ESPnet · recommended 1×
  2. NeMo · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. PyTorch-Kaldi · recommended 1×
  5. k2 · recommended 1×
  • CATEGORY QUERY
    What open-source libraries are available for end-to-end Korean speech recognition using PyTorch?
    you: not recommended
    AI recommended (in order):
    1. ESPnet
    2. NeMo
    3. Hugging Face Transformers
    4. PyTorch-Kaldi
    5. k2
    6. Icefall

    AI recommended 6 alternatives but never named sooftware/kospeech. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a PyTorch-based toolkit to develop advanced transformer or conformer models for ASR.
    you: not recommended
    AI recommended (in order):
    1. NeMo (NVIDIA NeMo) (NVIDIA/NeMo)
    2. ESPnet (espnet/espnet)
    3. SpeechBrain (SpeechBrain/SpeechBrain)
    4. Hugging Face Transformers (huggingface/transformers)
    5. fairseq (Facebook AI Research Sequence-to-Sequence Toolkit) (facebookresearch/fairseq)

    AI recommended 5 alternatives but never named sooftware/kospeech. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

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 sooftware/kospeech?
    pass
    AI did not name sooftware/kospeech — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts sooftware/kospeech in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sooftware/kospeech 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 sooftware/kospeech solve, and who is the primary audience?
    pass
    AI named sooftware/kospeech explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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sooftware/kospeech — 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