Unsupervised Learning is a machine learning approach in which AI models discover patterns, relationships, or clusters within data without requiring labeled training examples.
Voice AI researchers use Unsupervised Learning to discover conversation topics, group similar customer interactions, generate speech representations, and improve language and speech models using large volumes of unlabeled data.