RRepoGEO

REPOGEO REPORT · LITE

Rudrabha/Lip2Wav

Default branch master · commit 95d923f1 · scanned 5/29/2026, 10:32:53 PM

GitHub: 713 stars · 154 forks

AI VISIBILITY SCORE
65 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 Rudrabha/Lip2Wav, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumabout#1
    Update the repository description for clarity

    Why:

    CURRENT
    This is the repository containing codes for our CVPR, 2020 paper titled "Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis"
    COPY-PASTE FIX
    Synthesize high-quality speech directly from silent video of lip movements using deep learning, based on our CVPR 2020 paper.
  • lowhomepage#2
    Add the project page URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    http://cvit.iiit.ac.in/research/projects/cvit-projects/speaking-by-observing-lip-movements

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
1 / 2
50% of queries surface Rudrabha/Lip2Wav
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
Wav2Lip
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Wav2Lip · recommended 2×
  2. WaveNet · recommended 2×
  3. WaveGlow · recommended 2×
  4. LipGAN · recommended 1×
  5. MakeItTalk · recommended 1×
  • CATEGORY QUERY
    How can I synthesize spoken audio from silent video showing only lip movements?
    you: not recommended
    AI recommended (in order):
    1. Wav2Lip
    2. LipGAN
    3. MakeItTalk
    4. DeepMotion
    5. TensorFlow
    6. PyTorch
    7. WaveNet
    8. WaveGlow
    9. HiFi-GAN
    10. Google Cloud Text-to-Speech
    11. Rhino LipSync
    12. Adobe Character Animator
    13. OpenAI Jukebox
    14. VALL-E

    AI recommended 14 alternatives but never named Rudrabha/Lip2Wav. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI models can generate high-quality speech directly from visual lip motion data?
    you: #2
    AI recommended (in order):
    1. Wav2Lip
    2. Lip2Wav ← you
    3. Tacotron 2
    4. Transformer TTS
    5. WaveNet
    6. WaveGlow
    7. Hifi-GAN
    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 Rudrabha/Lip2Wav?
    pass
    AI named Rudrabha/Lip2Wav explicitly

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

  • If a team adopts Rudrabha/Lip2Wav in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Rudrabha/Lip2Wav 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 Rudrabha/Lip2Wav solve, and who is the primary audience?
    pass
    AI named Rudrabha/Lip2Wav explicitly

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

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Rudrabha/Lip2Wav — 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