RRepoGEO

REPOGEO REPORT · LITE

innnky/emotional-vits

Default branch main · commit 09e16546 · scanned 5/27/2026, 7:29:00 AM

GitHub: 1,395 stars · 169 forks

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 innnky/emotional-vits, 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 highlight open-source model and key differentiator

    Why:

    CURRENT
    # Emotional VITS

[](https://huggingface.co/spaces/innnky/nene-emotion) 

在线demo ↑↑↑ bilibili demo

数据集无需任何情感标注，通过情感提取模型 提取语句情感embedding输入网络，实现情感可控的VITS合成
    COPY-PASTE FIX
    # Emotional VITS: Controllable Speech Synthesis without Manual Emotion Labels

This repository provides an open-source VITS-based model for **emotionally controllable speech synthesis**. Its core innovation allows you to generate expressive speech *without requiring any manual emotion labeling* in your datasets. Instead, it leverages emotion embeddings extracted from reference audio.

[Online Demo on Hugging Face Spaces](https://huggingface.co/spaces/innnky/nene-emotion) | [Bilibili Demo]
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    vits, tts, speech-synthesis, emotional-speech, deep-learning, pytorch, voice-synthesis, ai-model, open-source
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://huggingface.co/spaces/innnky/nene-emotion

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 innnky/emotional-vits
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 2×
  2. ElevenLabs · recommended 2×
  3. Amazon Polly · recommended 1×
  4. Microsoft Azure Text to Speech · recommended 1×
  5. OpenAI TTS · recommended 1×
  • CATEGORY QUERY
    How to create expressive speech synthesis without needing to manually label emotion data?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Amazon Polly
    3. Microsoft Azure Text to Speech
    4. ElevenLabs
    5. OpenAI TTS
    6. Tacotron 2
    7. FastSpeech 2
    8. Hugging Face Transformers

    AI recommended 8 alternatives but never named innnky/emotional-vits. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a voice synthesis model that can control emotion using a reference audio input.
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Meta Voicebox
    3. VALL-E
    4. Resemble.ai
    5. Descript
    6. Google Cloud Text-to-Speech
    7. Azure AI Speech

    AI recommended 7 alternatives but never named innnky/emotional-vits. 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 innnky/emotional-vits?
    pass
    AI named innnky/emotional-vits explicitly

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

  • If a team adopts innnky/emotional-vits in production, what risks or prerequisites should they evaluate first?
    pass
    AI named innnky/emotional-vits 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 innnky/emotional-vits solve, and who is the primary audience?
    pass
    AI did not name innnky/emotional-vits — 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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innnky/emotional-vits — 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