RRepoGEO

REPOGEO REPORT · LITE

buriburisuri/speech-to-text-wavenet

Default branch master · commit 7b0d2e92 · scanned 5/18/2026, 1:19:05 PM

GitHub: 4,009 stars · 790 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
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 buriburisuri/speech-to-text-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
    Clarify the README's opening sentence to emphasize TensorFlow and end-to-end ASR

    Why:

    CURRENT
    # Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition using DeepMind's WaveNet
    COPY-PASTE FIX
    # Speech-to-Text-WaveNet: An end-to-end sentence-level English speech recognition system implemented in TensorFlow, based on DeepMind's WaveNet.
  • hightopics#2
    Add relevant topics to improve categorization and search

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    speech-to-text, speech-recognition, wavenet, tensorflow, deep-learning, asr, machine-learning, english-speech
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., project page, live demo, or documentation) to the repository's homepage field in settings.

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 buriburisuri/speech-to-text-wavenet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. Mozilla DeepSpeech · recommended 1×
  3. Kaldi · recommended 1×
  4. SpeechRecognition · recommended 1×
  5. CMU Sphinx · recommended 1×
  • CATEGORY QUERY
    What are good open-source libraries for converting English audio to text sentences?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. Mozilla DeepSpeech
    3. Kaldi
    4. SpeechRecognition
    5. CMU Sphinx

    AI recommended 5 alternatives but never named buriburisuri/speech-to-text-wavenet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement end-to-end speech recognition using TensorFlow and WaveNet models?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. WaveNet
    3. LibriSpeech
    4. Common Voice
    5. TED-LIUM Corpus
    6. librosa
    7. pydub
    8. nltk
    9. spaCy
    10. DeepSpeech
    11. kenlm
    12. jiwer
    13. TensorBoard
    14. Keras
    15. Transformer-based models
    16. Conformer

    AI recommended 16 alternatives but never named buriburisuri/speech-to-text-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 buriburisuri/speech-to-text-wavenet?
    pass
    AI named buriburisuri/speech-to-text-wavenet explicitly

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

  • If a team adopts buriburisuri/speech-to-text-wavenet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named buriburisuri/speech-to-text-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 buriburisuri/speech-to-text-wavenet solve, and who is the primary audience?
    pass
    AI did not name buriburisuri/speech-to-text-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?

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buriburisuri/speech-to-text-wavenet — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
buriburisuri/speech-to-text-wavenet — RepoGEO report