Revolutionizing Multilingual Speaker Identification with Combined Vocal Features Boosts Accuracy
The article shows how to identify speakers who speak different languages using limited data. They tested this using English, Hindi, and Kannada speakers. By combining two different techniques to extract vocal tract features, they improved speaker identification by 30% compared to using each technique alone.