Prosodic Feature

Prosodic features, encompassing aspects of speech like pitch, intensity, and rhythm, are crucial for conveying meaning and emotion beyond the literal words spoken. Current research focuses on accurately modeling and manipulating these features in applications such as speech synthesis, editing, and voice conversion, often employing deep learning models like diffusion models, variational autoencoders, and actor-critic reinforcement learning. This work is significant for improving the naturalness and expressiveness of synthetic speech, enhancing accessibility for individuals with communication disorders, and advancing our understanding of human communication itself.