RRepoGEO

REPOGEO REPORT · LITE

wenet-e2e/speech-synthesis-paper

Default branch master · commit 8c43055d · scanned 6/27/2026, 4:18:58 PM

GitHub: 1,072 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 the README H1 and add a clarifying sentence

    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: A Curated GitHub List
This repository provides a comprehensive, actively maintained list of influential research papers on speech synthesis, including acoustic models, vocoders, and TTS stylization.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    speech-synthesis, text-to-speech, tts, deep-learning, acoustic-model, vocoder, voice-conversion, research-papers, awesome-list
  • mediumabout#3
    Refine the repository description

    Why:

    CURRENT
    List of speech synthesis papers.
    COPY-PASTE FIX
    A comprehensive, curated GitHub list of influential research papers on speech synthesis, covering acoustic models, vocoders, and TTS stylization.

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
Google Scholar
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Scholar · recommended 1×
  2. Interspeech (ISCA) · recommended 1×
  3. ICASSP (IEEE International Conference on Acoustics, Speech and Signal Processing) · recommended 1×
  4. Speech Communication (Elsevier) · recommended 1×
  5. IEEE/ACM Transactions on Audio, Speech, and Language Processing · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of influential research papers on speech synthesis?
    you: not recommended
    AI recommended (in order):
    1. Google Scholar
    2. Interspeech (ISCA)
    3. ICASSP (IEEE International Conference on Acoustics, Speech and Signal Processing)
    4. Speech Communication (Elsevier)
    5. IEEE/ACM Transactions on Audio, Speech, and Language Processing
    6. Wikipedia
    7. The Handbook of Speech Synthesis

    AI recommended 7 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 deep learning models and architectures for text-to-speech conversion?
    you: not recommended
    AI recommended (in order):
    1. Tacotron 2
    2. WaveNet
    3. DeepVoice
    4. Transformer TTS
    5. FastSpeech
    6. FastSpeech 2
    7. Glow-TTS
    8. ParaNet

    AI recommended 8 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?

Embed your GEO score

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wenet-e2e/speech-synthesis-paper — 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