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Evaluate AI Voice Quality for African Languages

Help researchers improve text-to-speech technology by rating how natural AI-generated speech sounds. Anonymous, fast, and impactful.

  • No account needed
  • Takes 10–15 minutes
  • Fully anonymous
Screenshot of the OpenMOS Admin Dashboard displaying MOS evaluation analytics, including score distributions and active rater statistics.

How It Works

Three simple steps to contribute to groundbreaking research

  1. 01. Listen

    Put on headphones and listen to short audio clips generated by AI text-to-speech systems.

  2. 02. Rate

    Rate each clip on a scale of 1–5 based on how natural and human-like the speech sounds to you.

  3. 03. Contribute

    Your anonymous ratings help researchers compare TTS models and improve voice tech for African languages.

Supports All African Languages

We're seeking native speakers to help evaluate AI speech quality across all underrepresented languages on the African continent

  • Luganda

    Uganda

    10M+ speakers

  • Krio

    Sierra Leone

    6M+ speakers

  • 🌍

    All African Languages

    Entire Continent

    2000+ languages

Powerful Admin Dashboard

Manage your entire evaluation study from one clean interface. Upload audio, monitor progress, and export publication-ready data.

  • Real-time MOS score distributions and analytics
  • Audio sample management with multi-model support
  • Rater demographics and completion tracking
  • One-click data export for academic papers
Learn More
OpenMOS Dashboard screenshot showing the MOS comparison chart with score distributions for different AI text-to-speech models.

Ready to Make an Impact?

Your voice matters. Help us build better speech technology for millions of African language speakers.

For support or inquiries: info@geneline-x.net