Prosody Prediction

Prosody prediction aims to automatically generate the natural rhythm, intonation, and stress patterns of speech from text, crucial for creating realistic and engaging synthetic speech. Current research focuses on improving prediction accuracy using various techniques, including advanced language models (like BERT and others), multi-task learning frameworks that incorporate linguistic features (e.g., part-of-speech tags), and generative models such as diffusion probabilistic models. These advancements are significantly impacting text-to-speech systems, enabling more natural-sounding speech and facilitating cross-lingual applications, as well as improving the analysis of existing speech data like audiobooks.