About OpenMOS
Mean Opinion Score Evaluation Platform
Our Mission
OpenMOS is a research platform dedicated to improving AI voice technology for underrepresented languages. By collecting Mean Opinion Score (MOS) evaluations from native speakers, we help researchers understand how natural AI-generated speech sounds compared to human recordings.
What is MOS?
Mean Opinion Score (MOS) is a standardized measure used in telecommunications and speech synthesis research. It rates audio quality on a scale of 1 to 5, where 5 represents "excellent" (sounds completely human) and 1 represents "bad" (unintelligible). MOS evaluations are conducted following ITU-T recommendation standards.
5
Excellent
4
Good
3
Fair
2
Poor
1
Bad
Supported Languages
We are currently focused on evaluating text-to-speech systems for African languages that are underrepresented in AI research:
Luganda
Uganda
Krio
Sierra Leone
Research Applications
Your evaluations help us:
- Compare different text-to-speech models (Orpheus, NeMo, etc.)
- Identify areas where AI speech needs improvement
- Publish research that advances voice technology for African languages
- Develop accessible technology for native speakers
Contact Us
Have questions about the research or want to get involved? Reach out to our team:
research@openmos.org