RRepoGEO

REPOGEO REPORT · LITE

DmitryRyumin/INTERSPEECH-2023-24-Papers

Default branch main · commit 7b12d59b · scanned 6/15/2026, 5:56:52 PM

GitHub: 687 stars · 43 forks

AI VISIBILITY SCORE
15 /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
0 / 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 DmitryRyumin/INTERSPEECH-2023-24-Papers, 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 core description to the top of the README

    Why:

    CURRENT
    The README starts with <p align="center"> and tables, then the descriptive text.
    COPY-PASTE FIX
    Move the existing descriptive sentence "INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included." to be the absolute first line of the README, before any badges, tables, or other visual elements.
  • mediumhomepage#2
    Add the INTERSPEECH 2024 conference homepage to the repository's About section

    Why:

    COPY-PASTE FIX
    https://interspeech2024.org/
  • lowtopics#3
    Add 'conference-papers' and 'academic-papers' to the repository topics

    Why:

    CURRENT
    acoustic, adaptation, asr, audio-signals, interspeech, interspeech2023, interspeech2024, language-modeling, lexical-analysis, linguistic-analysis, machine-translation, prosody, self-supervised-learning, signal-processing, speech-analysis, speech-production, speech-recognition, speech-synthesis, speech-technology, transmission
    COPY-PASTE FIX
    acoustic, adaptation, asr, audio-signals, interspeech, interspeech2023, interspeech2024, language-modeling, lexical-analysis, linguistic-analysis, machine-translation, prosody, self-supervised-learning, signal-processing, speech-analysis, speech-production, speech-recognition, speech-synthesis, speech-technology, transmission, conference-papers, academic-papers

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 DmitryRyumin/INTERSPEECH-2023-24-Papers
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Papers With Code · recommended 1×
  3. ACL Anthology · recommended 1×
  4. GitHub Trending · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    Where can I find recent academic papers and code for advanced speech and language processing?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. ACL Anthology
    4. GitHub Trending
    5. Hugging Face
    6. Google Scholar

    AI recommended 6 alternatives but never named DmitryRyumin/INTERSPEECH-2023-24-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a collection of influential research in speech recognition, synthesis, or language modeling.
    you: not recommended
    AI recommended (in order):
    1. WaveNet
    2. Transformer
    3. BERT

    AI recommended 3 alternatives but never named DmitryRyumin/INTERSPEECH-2023-24-Papers. 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 DmitryRyumin/INTERSPEECH-2023-24-Papers?
    pass
    AI did not name DmitryRyumin/INTERSPEECH-2023-24-Papers — 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 DmitryRyumin/INTERSPEECH-2023-24-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name DmitryRyumin/INTERSPEECH-2023-24-Papers — 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?

  • In one sentence, what problem does the repo DmitryRyumin/INTERSPEECH-2023-24-Papers solve, and who is the primary audience?
    pass
    AI did not name DmitryRyumin/INTERSPEECH-2023-24-Papers — 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?

Embed your GEO score

Drop this badge into the README of DmitryRyumin/INTERSPEECH-2023-24-Papers. 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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MARKDOWN (README)
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DmitryRyumin/INTERSPEECH-2023-24-Papers — 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