RRepoGEO

REPOGEO REPORT · LITE

QwenLM/Qwen3-ASR

Default branch main · commit c17a131f · scanned 6/18/2026, 4:57:24 AM

GitHub: 2,935 stars · 296 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)

2 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 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', 'forced-alignment', 'qwen', 'alibaba-cloud']
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://qwen.ai/blog?id=qwen3asr
  • mediumreadme#3
    Strengthen the README's opening sentence to highlight unique features

    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
    Qwen3-ASR is an open-source, all-in-one speech recognition model series from Alibaba Cloud's Qwen team, offering robust multilingual speech, music, and song recognition, language detection, and precise timestamp prediction across 52 languages and dialects, including a novel non-autoregressive forced-alignment model.

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. Mozilla Common Voice · recommended 1×
  3. Facebook MMS · recommended 1×
  4. ESPnet · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    What open-source models provide multilingual speech recognition, language detection, and timestamping?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper
    2. Mozilla Common Voice
    3. Facebook MMS
    4. ESPnet
    5. Hugging Face Transformers

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to transcribe speech, music, and songs, including forced alignment capabilities.
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI) (openai/whisper)
    2. Aeneas (readbeyond/aeneas)
    3. Google Cloud Speech-to-Text API
    4. Amazon Transcribe
    5. AssemblyAI
    6. AcousticBrainz (MTG/AcousticBrainz)
    7. Pocketsphinx (CMU Sphinx) (cmusphinx/pocketsphinx)

    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

Drop this badge into the README of QwenLM/Qwen3-ASR. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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QwenLM/Qwen3-ASR — 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