Training Data is the collection of examples used to teach an AI model how to perform a task. It may include text, speech, audio, images, transcripts, labels, or structured information.
Voice AI models rely on high-quality Training Data to learn speech recognition, speech synthesis, language understanding, speaker recognition, and conversational behavior. The diversity and quality of training data directly influence model accuracy and reliability.