Emphasis rendering for conversational text-to-speech with multi-modal multi-scale context modeling

Key Points

• Emphasis rendering enhances user interaction quality in text-to-speech systems, creating more natural conversations.
• The implementation of multi-modal context modeling leads to more accurate emotional expressions, improving listener engagement.
• Assessment of various scales reveals significant improvements in emotional nuance and meaningful engagement.
• Supports advancements in conversational AI, suggesting practical applications in virtual assistants and enhanced customer interactions.