RRepoGEO

REPOGEO REPORT · LITE

jim-schwoebel/voice_datasets

Default branch master · commit 587a747d · scanned 6/25/2026, 4:16:36 PM

GitHub: 2,204 stars · 265 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
28 /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
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 jim-schwoebel/voice_datasets, 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
  • highreadme#1
    Reposition README H1 and opening paragraph to clarify it's a curated list

    Why:

    CURRENT
    # voice_datasets
A comprehensive list of open source voice and music datasets. I released this for the talk @ the VOICE Summit 2019.
    COPY-PASTE FIX
    # voice_datasets: A Curated List of Open-Source Voice and Sound Datasets
This repository provides a comprehensive, curated list of over 95 open-source datasets for voice and sound computing, including speech, audio events, and music. It serves as a central resource for researchers and developers seeking data for tasks like speech recognition, synthesis, and emotion detection.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file to the repository root, for example, a standard MIT License, to clarify the terms of use for the list itself.
  • mediumtopics#3
    Add topics that emphasize the repo's role as a resource list

    Why:

    CURRENT
    audio-dataset, audio-datasets, data, dataset, datasets, noise, voice, voice-activity-detection, voice-assistant, voice-chat, voice-commands, voice-computing, voice-control, voice-conversion, voice-dataset, voice-datasets, voice-recognition, voice-synthesis
    COPY-PASTE FIX
    Add the following topics: 'awesome-list', 'resource-list', 'dataset-collection', 'ml-datasets-list'.

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 jim-schwoebel/voice_datasets
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 · recommended 1×
  3. TED-LIUM Corpus · recommended 1×
  4. VoxForge · recommended 1×
  5. Google Speech Commands Dataset · recommended 1×
  • CATEGORY QUERY
    Where can I find open-source datasets for training voice recognition models?
    you: not recommended
    AI recommended (in order):
    1. LibriSpeech
    2. Common Voice
    3. TED-LIUM Corpus
    4. VoxForge
    5. Google Speech Commands Dataset
    6. WSJ (Wall Street Journal) Corpus
    7. Fisher English Speech Corpus

    AI recommended 7 alternatives but never named jim-schwoebel/voice_datasets. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are comprehensive public domain audio datasets for speech synthesis projects?
    you: not recommended
    AI recommended (in order):
    1. LibriSpeech
    2. LJ Speech Dataset
    3. VCTK (Voice Cloning Toolkit) Corpus
    4. Common Voice (English subset)
    5. Blizzard Challenge 2013 (US English)

    AI recommended 5 alternatives but never named jim-schwoebel/voice_datasets. 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 jim-schwoebel/voice_datasets?
    pass
    AI named jim-schwoebel/voice_datasets explicitly

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

  • If a team adopts jim-schwoebel/voice_datasets in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jim-schwoebel/voice_datasets 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 jim-schwoebel/voice_datasets solve, and who is the primary audience?
    pass
    AI did not name jim-schwoebel/voice_datasets — 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?

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jim-schwoebel/voice_datasets — 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