Dropout is a machine learning technique that temporarily disables random neurons during training to reduce overfitting and improve a model's ability to generalize to new data.
Voice AI models use Dropout while training speech recognition, speech synthesis, and language models. It helps create more reliable models that perform consistently across different speakers, accents, and environments.