RRepoGEO

REPOGEO REPORT · LITE

0nutation/SpeechGPT

Default branch main · commit b2900115 · scanned 6/25/2026, 6:18:19 PM

GitHub: 1,404 stars · 96 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 0nutation/SpeechGPT, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    speech-llm, multimodal-llm, generative-ai, speech-ai, deep-learning, research, conversational-ai, speech-generation, speech-recognition, large-language-models
  • highreadme#2
    Add a clarifying sentence to the README's opening

    Why:

    CURRENT
    # SpeechGPT: Speech Large Language Models
    COPY-PASTE FIX
    # SpeechGPT: Speech Large Language Models
    
    This repository serves as a comprehensive collection of research projects and foundational models exploring the integration of speech with large language models for intrinsic cross-modal conversational abilities.
  • mediumreadme#3
    Add a dedicated 'Overview' or 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Overview
    
    This series of projects focuses on advancing multimodal large language models (LLMs) by empowering them with intrinsic cross-modal conversational abilities. Key contributions include:
    
    - **SpeechGPT:** The first multi-modal LLM capable of perceiving and generating multi-modal content following multi-modal human instructions.
    - **SpeechGPT-Gen:** Research into scaling chain-of-information speech generation.
    - **SpeechTokenizer:** A unified speech tokenizer for speech language models.
    - **SpeechAgents:** Human-communication simulation with multi-modal multi-agent systems.

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 0nutation/SpeechGPT
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Dialogflow CX
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Dialogflow CX · recommended 1×
  2. Google Cloud Dialogflow ES · recommended 1×
  3. Amazon Lex · recommended 1×
  4. Amazon Polly · recommended 1×
  5. Amazon Transcribe · recommended 1×
  • CATEGORY QUERY
    How can I build conversational AI that understands and generates speech across modalities?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Dialogflow CX
    2. Google Cloud Dialogflow ES
    3. Amazon Lex
    4. Amazon Polly
    5. Amazon Transcribe
    6. Microsoft Azure Bot Service
    7. Azure Cognitive Services Speech
    8. Language Understanding (LUIS)
    9. Rasa Open Source (RasaHQ/rasa)
    10. Mozilla DeepSpeech (mozilla/DeepSpeech)
    11. Google Cloud Speech-to-Text API
    12. Google Cloud Text-to-Speech API
    13. OpenAI API
    14. GPT-3.5
    15. GPT-4
    16. Whisper (openai/whisper)
    17. Hugging Face Transformers (huggingface/transformers)
    18. BERT
    19. RoBERTa
    20. GPT-2
    21. T5
    22. Wav2Vec 2.0
    23. Bark
    24. Mycroft AI (MycroftAI/mycroft-core)

    AI recommended 24 alternatives but never named 0nutation/SpeechGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for generating realistic speech using large language models?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs Prime Voice AI
    2. Google Cloud Text-to-Speech (WaveNet & Studio voices)
    3. Azure AI Speech (Neural voices)
    4. OpenAI TTS (Text-to-Speech)
    5. Amazon Polly (Neural voices)
    6. PlayHT

    AI recommended 6 alternatives but never named 0nutation/SpeechGPT. 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 0nutation/SpeechGPT?
    pass
    AI named 0nutation/SpeechGPT explicitly

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

  • If a team adopts 0nutation/SpeechGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0nutation/SpeechGPT 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 0nutation/SpeechGPT solve, and who is the primary audience?
    pass
    AI named 0nutation/SpeechGPT explicitly

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

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0nutation/SpeechGPT — 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