RRepoGEO

REPOGEO REPORT · LITE

Tele-AI/TeleSpeech-ASR

Default branch master · commit bc93f1b5 · scanned 6/12/2026, 2:58:16 PM

GitHub: 850 stars · 79 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 Tele-AI/TeleSpeech-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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise English description to the repository

    Why:

    COPY-PASTE FIX
    TeleSpeech-ASR is a large-scale, multi-dialect automatic speech recognition (ASR) model, pre-trained on 300k hours of unlabeled speech and fine-tuned for 30 Chinese dialects including Cantonese, Shanghainese, Sichuanese, and Wenzhounese. It also provides frameworks for fine-tuning on new accents.
  • mediumlicense#2
    Create a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository. Populate it with the full text of the license(s) described or referenced in the '声明与协议' section of your README.

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 Tele-AI/TeleSpeech-ASR
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. Baidu Speech · recommended 1×
  3. iFLYTEK Speech Recognition · recommended 1×
  4. Google Cloud Speech-to-Text · recommended 1×
  5. Microsoft Azure Cognitive Services Speech · recommended 1×
  • CATEGORY QUERY
    Looking for a robust speech recognition model that can handle multiple Chinese dialects effectively.
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. Baidu Speech
    3. iFLYTEK Speech Recognition
    4. Google Cloud Speech-to-Text
    5. Microsoft Azure Cognitive Services Speech
    6. Alibaba Cloud Intelligent Speech Interaction

    AI recommended 6 alternatives but never named Tele-AI/TeleSpeech-ASR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to fine-tune a large pre-trained speech model for better accuracy on specific regional accents?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. NVIDIA NeMo
    3. SpeechBrain
    4. OpenAI Whisper
    5. Google Speech-to-Text API
    6. Mozilla DeepSpeech

    AI recommended 6 alternatives but never named Tele-AI/TeleSpeech-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
    fail

    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 Tele-AI/TeleSpeech-ASR?
    pass
    AI did not name Tele-AI/TeleSpeech-ASR — likely talking about a different project

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

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