RRepoGEO

REPOGEO REPORT · LITE

wenet-e2e/speech-synthesis-paper

Default branch master · commit 8c43055d · scanned 5/16/2026, 6:43:03 PM

GitHub: 1,073 stars · 122 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
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 wenet-e2e/speech-synthesis-paper, 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 README opening to clearly state it's a paper list

    Why:

    CURRENT
    # Speech Synthesis Paper
List of speech synthesis papers (-> [more papers](./papers/README.md) <-). Welcome to recommend more awesome papers 😀.
    COPY-PASTE FIX
    # Awesome Speech Synthesis Papers
This repository is a curated and categorized list of important research papers on speech synthesis (Text-to-Speech, TTS), including acoustic models, vocoders, and stylization. Welcome to recommend more awesome papers 😀.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    speech-synthesis, text-to-speech, tts, deep-learning, research-papers, awesome-list, machine-learning, natural-language-processing, nlp, speech-recognition
  • mediumhomepage#3
    Add a homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/wenet-e2e/speech-synthesis-paper

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 wenet-e2e/speech-synthesis-paper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome-Text-to-Speech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome-Text-to-Speech · recommended 1×
  2. Speech and Language Processing (Jurafsky & Martin) · recommended 1×
  3. Google Scholar · recommended 1×
  4. ACL Anthology · recommended 1×
  5. EMNLP · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of important research papers on speech synthesis?
    you: not recommended
    AI recommended (in order):
    1. Awesome-Text-to-Speech
    2. Speech and Language Processing (Jurafsky & Martin)
    3. Google Scholar
    4. ACL Anthology
    5. EMNLP
    6. Interspeech
    7. Papers With Code
    8. Wikipedia

    AI recommended 8 alternatives but never named wenet-e2e/speech-synthesis-paper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the foundational papers to understand deep learning-based text-to-speech models?
    you: not recommended
    AI recommended (in order):
    1. Tacotron 2
    2. WaveNet
    3. Deep Voice 3
    4. Parallel WaveNet
    5. Transformer-TTS
    6. FastSpeech
    7. Glow-TTS

    AI recommended 7 alternatives but never named wenet-e2e/speech-synthesis-paper. 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 wenet-e2e/speech-synthesis-paper?
    pass
    AI did not name wenet-e2e/speech-synthesis-paper — 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 wenet-e2e/speech-synthesis-paper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wenet-e2e/speech-synthesis-paper 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 wenet-e2e/speech-synthesis-paper solve, and who is the primary audience?
    pass
    AI did not name wenet-e2e/speech-synthesis-paper — 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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wenet-e2e/speech-synthesis-paper — 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