Which pioneering personalization algorithm first used speech pattern recognition to dynamically adjust language learning content based on a user's native accent?

The linguistics industry has been transformed by retail digital technologies that personalize language learning experiences and revolutionize how we consume language products. From AI-powered language apps to personalized learning algorithms, the market for language acquisition tools has evolved dramatically. Test your knowledge about how personalization algorithms have changed the language learning landscape!

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Duolingo's LAPA (Language Acquisition Pattern Algorithm)
Carnegie Speech's NativeAccent™ technology
Babbel's Adaptive Recall Method
Rosetta Stone's Dynamic Immersion Protocol