RRepoGEO

REPOGEO REPORT · LITE

wq2012/awesome-diarization

Default branch master · commit 61b0ac69 · scanned 5/23/2026, 11:16:43 AM

GitHub: 1,871 stars · 241 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 wq2012/awesome-diarization, 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 the README H1 to specify category

    Why:

    CURRENT
    # Awesome Speaker Diarization
    COPY-PASTE FIX
    # Awesome Speaker Diarization: A Curated List of Papers, Libraries, and Datasets
  • mediumreadme#2
    Add a sentence to the README's overview section explicitly stating its function as a comprehensive guide

    Why:

    CURRENT
    The purpose of this repo is to organize the world’s resources for speaker diarization, and make them universally accessible and useful.
    COPY-PASTE FIX
    The purpose of this repo is to organize the world’s resources for speaker diarization, and make them universally accessible and useful. It serves as a comprehensive guide to the field, covering techniques, tools, and datasets.
  • lowtopics#3
    Add a more specific topic to highlight the inclusion of software and tools

    Why:

    CURRENT
    awesome, awesome-list, deep-learning, machine-learning, speaker-diarization, speech-processing, speech-recognition
    COPY-PASTE FIX
    awesome, awesome-list, deep-learning, machine-learning, speaker-diarization, speech-processing, speech-recognition, speaker-diarization-tools

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 wq2012/awesome-diarization
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch-Kaldi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch-Kaldi · recommended 1×
  2. NVIDIA NeMo · recommended 1×
  3. SpeechBrain · recommended 1×
  4. pyannote.audio · recommended 1×
  5. Sidekit · recommended 1×
  • CATEGORY QUERY
    What are the best open-source libraries for identifying different speakers in audio?
    you: not recommended
    AI recommended (in order):
    1. PyTorch-Kaldi
    2. NVIDIA NeMo
    3. SpeechBrain
    4. pyannote.audio
    5. Sidekit
    6. Kaldi

    AI recommended 6 alternatives but never named wq2012/awesome-diarization. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive guide to speaker diarization techniques and datasets?
    you: not recommended
    AI recommended (in order):
    1. Speaker Diarization: A Review of Recent Research

    AI recommended 1 alternative but never named wq2012/awesome-diarization. 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 wq2012/awesome-diarization?
    pass
    AI named wq2012/awesome-diarization explicitly

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

  • If a team adopts wq2012/awesome-diarization in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wq2012/awesome-diarization 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 wq2012/awesome-diarization solve, and who is the primary audience?
    pass
    AI did not name wq2012/awesome-diarization — 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?

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wq2012/awesome-diarization — 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