RRepoGEO

REPOGEO REPORT · LITE

QwenLM/Qwen3-ASR

Default branch main · commit c17a131f · scanned 5/8/2026, 1:22:44 PM

GitHub: 2,592 stars · 263 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 QwenLM/Qwen3-ASR, 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
    asr, speech-recognition, multilingual, language-detection, timestamping, speech-to-text, deep-learning, nlp, audio-processing, music-recognition, song-recognition, forced-alignment
  • mediumhomepage#2
    Set a canonical homepage URL for the repository

    Why:

    COPY-PASTE FIX
    https://qwen.ai/blog?id=qwen3asr
  • mediumreadme#3
    Refine the README's introductory sentence to emphasize diverse audio content

    Why:

    CURRENT
    We release **Qwen3-ASR**, a family that includes two powerful all-in-one speech recognition models that support language identification and ASR for 52 languages and dialects, as well as a novel non-autoregressive speech forced-alignment model that can align text–speech pairs in 11 languages.
    COPY-PASTE FIX
    We release **Qwen3-ASR**, a family of powerful all-in-one models for multilingual speech, music, and song recognition. These models support language identification and ASR for 52 languages and dialects, and include a novel non-autoregressive speech forced-alignment model that can align text–speech pairs in 11 languages.

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 QwenLM/Qwen3-ASR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. facebookresearch/fairseq · recommended 1×
  3. NVIDIA/NeMo · recommended 1×
  4. espnet/espnet · recommended 1×
  5. coqui-ai/STT · recommended 1×
  • CATEGORY QUERY
    What open-source models provide accurate multilingual speech recognition, language detection, and timestamping?
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. Wav2Vec2 (facebookresearch/fairseq)
    3. NeMo (NVIDIA/NeMo)
    4. ESPnet (espnet/espnet)
    5. Coqui STT (coqui-ai/STT)

    AI recommended 5 alternatives but never named QwenLM/Qwen3-ASR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a comprehensive AI solution for transcribing diverse audio content, including speech, music, and songs.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. AWS Transcribe
    3. AssemblyAI
    4. Deepgram
    5. Azure Cognitive Services Speech
    6. OpenAI Whisper
    7. Rev.ai

    AI recommended 7 alternatives but never named QwenLM/Qwen3-ASR. 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 QwenLM/Qwen3-ASR?
    pass
    AI named QwenLM/Qwen3-ASR explicitly

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

  • If a team adopts QwenLM/Qwen3-ASR in production, what risks or prerequisites should they evaluate first?
    pass
    AI named QwenLM/Qwen3-ASR 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 QwenLM/Qwen3-ASR solve, and who is the primary audience?
    pass
    AI named QwenLM/Qwen3-ASR 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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  • Brand-free category queries5 vs 2 in Lite
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