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Paza: Introducing automatic speech recognition benchmarks and models for low resource languages
🤖AI Summary
Microsoft Research launched Paza, a human-centered speech recognition pipeline, and PazaBench, the first benchmark leaderboard specifically designed for low-resource languages. The initiative covers 39 African languages with 52 models and has been tested with real communities to improve AI accessibility for underrepresented languages.
Key Takeaways
- →Microsoft Research introduced Paza, a new automatic speech recognition system for low-resource languages.
- →PazaBench is the first leaderboard benchmark specifically designed for underrepresented languages.
- →The system covers 39 African languages and includes 52 different models for comparison.
- →The technology has been tested with real communities to ensure practical applicability.
- →This initiative addresses the AI accessibility gap for speakers of low-resource languages globally.
#microsoft#speech-recognition#ai-accessibility#african-languages#low-resource-languages#benchmarks#nlp#inclusive-ai
Read Original →via Microsoft Research Blog
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