RRepoGEO

REPOGEO REPORT · LITE

modelscope/3D-Speaker

Default branch main · commit 065629c3 · scanned 5/24/2026, 2:17:45 AM

GitHub: 2,947 stars · 263 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 modelscope/3D-Speaker, 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
    Reposition README opening to broaden perceived scope

    Why:

    CURRENT
    3D-Speaker is an open-source toolkit for single- and multi-modal speaker verification, speaker recognition, and speaker diarization.
    COPY-PASTE FIX
    3D-Speaker is a comprehensive open-source toolkit for speaker verification, speaker recognition, and speaker diarization, offering state-of-the-art performance across single- and multi-modal tasks, with a particular focus on advanced 3D speaker recognition.
  • mediumabout#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., the ModelScope project page or a dedicated project site) to the repository's 'About' section.
  • lowtopics#3
    Expand repository topics with broader category terms

    Why:

    CURRENT
    3d-speaker, campplus, cnceleb, eres2net, language-identification, modelscope, sdpn, speaker-diarization, speaker-verification, voxceleb
    COPY-PASTE FIX
    Add: speech-processing, audio-processing, deep-learning-toolkit

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 modelscope/3D-Speaker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SpeechBrain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SpeechBrain · recommended 2×
  2. Kaldi · recommended 2×
  3. pyannote.audio · recommended 1×
  4. NVIDIA NeMo · recommended 1×
  5. OpenVINO Toolkit · recommended 1×
  • CATEGORY QUERY
    What open-source toolkit can I use for speaker verification and diarization tasks?
    you: not recommended
    AI recommended (in order):
    1. pyannote.audio
    2. SpeechBrain
    3. Kaldi
    4. NVIDIA NeMo
    5. OpenVINO Toolkit

    AI recommended 5 alternatives but never named modelscope/3D-Speaker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement multi-modal speaker recognition with high accuracy benchmarks?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Kaldi
    4. OpenCV
    5. Scikit-learn
    6. SpeechBrain

    AI recommended 6 alternatives but never named modelscope/3D-Speaker. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 modelscope/3D-Speaker?
    pass
    AI did not name modelscope/3D-Speaker — 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 modelscope/3D-Speaker in production, what risks or prerequisites should they evaluate first?
    pass
    AI named modelscope/3D-Speaker 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 modelscope/3D-Speaker solve, and who is the primary audience?
    pass
    AI named modelscope/3D-Speaker explicitly

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite