RRepoGEO

REPOGEO REPORT · LITE

SpeechColab/GigaSpeech

Default branch main · commit 44289e4b · scanned 6/2/2026, 11:58:02 PM

GitHub: 727 stars · 66 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 SpeechColab/GigaSpeech, 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-recognition, asr, speech-dataset, audio-dataset, machine-learning, deep-learning, natural-language-processing
  • highreadme#2
    Strengthen the README's opening sentence to highlight the dataset's purpose

    Why:

    CURRENT
    # GigaSpeech
This is the official repository of the GigaSpeech dataset.
    COPY-PASTE FIX
    # GigaSpeech
This is the official repository for GigaSpeech, a massive, high-quality audio dataset specifically designed for training and evaluating Automatic Speech Recognition (ASR) models.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2106.06909

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 SpeechColab/GigaSpeech
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LibriSpeech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LibriSpeech · recommended 2×
  2. Common Voice (Mozilla) · recommended 1×
  3. Fisher English Speech (LDC) · recommended 1×
  4. Switchboard-1 and Switchboard-2 (LDC) · recommended 1×
  5. Google Audioset · recommended 1×
  • CATEGORY QUERY
    Where can I find a very large, high-quality audio dataset for training speech recognition models?
    you: not recommended
    AI recommended (in order):
    1. LibriSpeech
    2. Common Voice (Mozilla)
    3. Fisher English Speech (LDC)
    4. Switchboard-1 and Switchboard-2 (LDC)
    5. Google Audioset
    6. VoxForge

    AI recommended 6 alternatives but never named SpeechColab/GigaSpeech. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a diverse, modern speech corpus to develop robust automatic speech recognition systems.
    you: not recommended
    AI recommended (in order):
    1. LibriSpeech
    2. Common Voice (Mozilla) (mozilla/common-voice)
    3. Fisher English Speech Corpus (LDC)
    4. Switchboard-1 Telephone Speech Corpus (LDC)
    5. Google Speech Commands Dataset
    6. VoxForge (voxforge/voxforge)

    AI recommended 6 alternatives but never named SpeechColab/GigaSpeech. 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 SpeechColab/GigaSpeech?
    pass
    AI named SpeechColab/GigaSpeech explicitly

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

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