A company is developing a voice recognition system that translates spoken commands into text. Which sequence transduction model principle is most critical for ensuring the system accurately understands different accents and speech patterns?

The model uses a special part that lets it look at each sound and decide how important it is. Other options are incorrect because Sliding windows can catch short patterns, but they ignore long‑term context; Recurrent layers remember past steps, but they can forget far‑away words.