An AI model trained on dozens of hours of real-world conversation accurately predicts human brain activity and shows that features of language structure emerge without being coded in.

Then, it applies AI models trained on datasets of various accents to modify the voice. During the conversion, the software modifies intonation, stress patterns, and phoneme pronunciation to align ...