Transfer Learning is a machine learning technique where a pre-trained model is adapted to perform a new task using additional domain-specific training rather than training from scratch.
Voice AI developers use Transfer Learning to build speech recognition, speech synthesis, and language models for specific industries, languages, or accents with less training data and lower computational cost.