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 attention mechanism lets the model look at each part of the audio and decide how important that part is. Other options are incorrect because Convolutional layers slide small windows over the data and capture local patterns; Recurrent neural networks read the sequence step by step, but they can forget earlier parts when the sentence is long.