RRepoGEO

REPOGEO REPORT · LITE

drethage/speech-denoising-wavenet

Default branch master · commit bd778b2d · scanned 6/15/2026, 1:08:08 AM

GitHub: 705 stars · 161 forks

AI VISIBILITY SCORE
22 /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
1 / 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 drethage/speech-denoising-wavenet, 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's opening to clarify its specific role

    Why:

    CURRENT
    A Wavenet For Speech Denoising
A neural network for end-to-end speech denoising, as described in: "A Wavenet For Speech Denoising"
    COPY-PASTE FIX
    A research implementation of an end-to-end WaveNet model for speech denoising, processing raw audio waveforms directly. This repository provides the code and a pre-trained model as described in the paper 'A Wavenet For Speech Denoising'.
  • mediumabout#2
    Enhance the repository's 'About' description for better differentiation

    Why:

    CURRENT
    A neural network for end-to-end speech denoising
    COPY-PASTE FIX
    An end-to-end WaveNet model for speech denoising, processing raw audio waveforms directly, as described in 'A Wavenet For Speech Denoising'.
  • lowreadme#3
    Add an FAQ entry in README about specific dependency requirements

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'FAQ' with an entry like: 'Q: What are the current dependency requirements? A: This project currently requires Keras 1.2 and Theano 0.9.0. The architecture's large dilations are not supported by newer TensorFlow versions (e.g., 1.2.0).'

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 drethage/speech-denoising-wavenet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
kaituoxu/TasNet
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. kaituoxu/TasNet · recommended 3×
  2. PyTorch · recommended 1×
  3. TensorFlow · recommended 1×
  4. Keras · recommended 1×
  5. ESPnet · recommended 1×
  • CATEGORY QUERY
    How can I implement an end-to-end neural network for speech denoising?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. ESPnet
    5. Asteroid
    6. SpeechBrain

    AI recommended 6 alternatives but never named drethage/speech-denoising-wavenet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What deep learning models are effective for reducing background noise in audio recordings?
    you: not recommended
    AI recommended (in order):
    1. Demucs (facebookresearch/demucs)
    2. DTLN (breizhn/DTLN)
    3. TasNet (kaituoxu/TasNet)
    4. Conv-TasNet (kaituoxu/TasNet)
    5. DPRNN-TasNet (kaituoxu/TasNet)
    6. SEGAN (santi-pdp/segan)
    7. DeepSpeech2 (mozilla/DeepSpeech)
    8. CRN (yong-qiu/CRN-Speech-Enhancement)
    9. WaveNet (ibab/wavenet)

    AI recommended 9 alternatives but never named drethage/speech-denoising-wavenet. 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 drethage/speech-denoising-wavenet?
    pass
    AI did not name drethage/speech-denoising-wavenet — 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 drethage/speech-denoising-wavenet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named drethage/speech-denoising-wavenet 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 drethage/speech-denoising-wavenet solve, and who is the primary audience?
    pass
    AI did not name drethage/speech-denoising-wavenet — 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

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drethage/speech-denoising-wavenet — 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