RRepoGEO

REPOGEO REPORT · LITE

lenML/Speech-AI-Forge

Default branch main · commit aea37e68 · scanned 5/11/2026, 10:53:34 AM

GitHub: 1,408 stars · 187 forks

AI VISIBILITY SCORE
35 /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
3 / 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 lenML/Speech-AI-Forge, 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
    Add a concise English value proposition to the top of the README

    Why:

    CURRENT
    The README currently starts with a Chinese title and description.
    COPY-PASTE FIX
    Speech-AI-Forge is a comprehensive toolkit for deploying Text-to-Speech (TTS) generation models, featuring an API server and a Gradio-based web user interface. It supports multiple languages and various state-of-the-art TTS models, making it easy to set up and use for researchers, developers, and enthusiasts.

# 🍦 Speech-AI-Forge

Speech-AI-Forge 是一个围绕 TTS 生成模型开发的项目，实现了 API Server 和 基于 Gradio 的 WebUI.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a URL to a project website, demo, or documentation portal (e.g., `https://speech-ai-forge.github.io` or a demo link).
  • mediumtopics#3
    Enhance topics with explicit deployment and multi-language keywords

    Why:

    CURRENT
    agent, asr, chattts, chattts-forge, chinese, colab, cosy-voice, cosyvoice, english, firered, fireredtts, fish-speech, gpt, llama, llm, ssml, stt, text-to-speech, tts, whisper
    COPY-PASTE FIX
    api-server, web-ui, gradio-app, multi-language, speech-synthesis, deployment, agent, asr, chattts, chattts-forge, chinese, colab, cosy-voice, cosyvoice, english, firered, fireredtts, fish-speech, gpt, llama, llm, ssml, stt, text-to-speech, tts, whisper

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 lenML/Speech-AI-Forge
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
coqui-ai/TTS-API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. coqui-ai/TTS-API · recommended 1×
  2. marytts/marytts · recommended 1×
  3. espnet/espnet · recommended 1×
  4. gradio-app/gradio · recommended 1×
  5. mozilla/TTS · recommended 1×
  • CATEGORY QUERY
    How can I easily deploy a text-to-speech API server with a web interface?
    you: not recommended
    AI recommended (in order):
    1. TTS-API (coqui-ai/TTS-API)
    2. MaryTTS (marytts/marytts)
    3. ESPnet (espnet/espnet)
    4. Gradio (gradio-app/gradio)
    5. Mozilla TTS (mozilla/TTS)
    6. Flask (pallets/flask)
    7. Streamlit (streamlit/streamlit)
    8. Tacotron 2 (NVIDIA/tacotron2)
    9. WaveGlow (NVIDIA/waveglow)

    AI recommended 9 alternatives but never named lenML/Speech-AI-Forge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source tools for generating speech from text in multiple languages?
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS
    2. Coqui TTS
    3. ESPnet
    4. MaryTTS
    5. Tacotron 2
    6. WaveNet
    7. TensorFlow
    8. PyTorch

    AI recommended 8 alternatives but never named lenML/Speech-AI-Forge. 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 lenML/Speech-AI-Forge?
    pass
    AI named lenML/Speech-AI-Forge explicitly

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

  • If a team adopts lenML/Speech-AI-Forge in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lenML/Speech-AI-Forge 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 lenML/Speech-AI-Forge solve, and who is the primary audience?
    pass
    AI named lenML/Speech-AI-Forge explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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