Unlocking Fine-Grained and Within-Utterance Speaking Style Control in Prompt-Based Text-to-Speech Models

This paper proposes novel techniques for fine-grained speaking style control in prompt-based text-to-speech (TTS) models. It addresses inter-utterance style interpolation and intra-utterance style transitions, overcoming limitations of global style application.