A Transformer Model is a neural network architecture that processes sequences using self-attention mechanisms, enabling efficient understanding of relationships between words, sentences, or speech.
Nearly all modern Voice AI systems rely on Transformer Models for speech recognition, language understanding, response generation, translation, and speech synthesis because they deliver high accuracy and scalability.