RRepoGEO

REPOGEO REPORT · LITE

huggingface/speech-to-speech

Default branch main · commit ee5f5d2f · scanned 5/24/2026, 1:47:01 AM

GitHub: 4,761 stars · 567 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 huggingface/speech-to-speech, 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 H1 to emphasize direct speech-to-speech translation

    Why:

    CURRENT
    # Speech To Speech: Build local voice agents with open-source models
    COPY-PASTE FIX
    # Speech To Speech: Direct Voice-to-Voice Translation with Open-Source Models

This repository enables building real-time voice agents that perform direct speech-to-speech translation, bypassing the need for intermediate text transcription and synthesis steps.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert relevant project or documentation URL here, e.g., a Hugging Face Spaces demo or dedicated documentation site]
  • lowtopics#3
    Add more specific topics related to direct speech-to-speech

    Why:

    CURRENT
    ai, assistant, language-model, machine-learning, python, speech, speech-synthesis, speech-to-text, speech-translation
    COPY-PASTE FIX
    ai, assistant, language-model, machine-learning, python, speech, speech-synthesis, speech-to-text, speech-translation, speech-to-speech-translation, real-time-translation, voice-agent

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 huggingface/speech-to-speech
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vosk
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Vosk · recommended 2×
  2. Coqui TTS · recommended 2×
  3. Mozilla DeepSpeech · recommended 2×
  4. Picovoice · recommended 2×
  5. Mycroft AI · recommended 1×
  • CATEGORY QUERY
    How to build a local voice assistant using open-source speech processing models?
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI
    2. Mimic 3
    3. Vosk
    4. Rhasspy
    5. Picovoice Porcupine
    6. Raven
    7. Home Assistant's built-in intent recognizer
    8. Piper
    9. Coqui TTS
    10. Home Assistant
    11. OpenWakeWord
    12. Mozilla DeepSpeech
    13. RASA
    14. Picovoice
    15. Leopard

    AI recommended 15 alternatives but never named huggingface/speech-to-speech. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools combine speech-to-text and text-to-speech for real-time voice agents?
    you: not recommended
    AI recommended (in order):
    1. Mozilla DeepSpeech
    2. Mozilla TTS
    3. Coqui TTS
    4. Vosk
    5. Mycroft Mimic 3
    6. Hugging Face Wav2Vec2
    7. Whisper
    8. Bark
    9. Suno AI
    10. Picovoice Rhino
    11. Picovoice Orca
    12. Picovoice
    13. OpenAI Whisper
    14. Tacotron 2
    15. FastSpeech 2
    16. ESPnet

    AI recommended 16 alternatives but never named huggingface/speech-to-speech. 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 huggingface/speech-to-speech?
    pass
    AI named huggingface/speech-to-speech explicitly

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

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

    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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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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