1 citations · 3 across the 20 of their papers we have counts for
5 papers · 1 filter
AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis
Zhenqi Jia, Yuan Zhao, Aruukhan +2
Conversational Speech Synthesis (CSS) aims to synthesize speech with human-like emotional expression and contextual consistency in user-agent interactions. Existing CSS methods str…
Chain-Talker: Chain Understanding and Rendering for Empathetic Conversational Speech Synthesis
Yifan Hu, Rui Liu, Yi Ren +2
Conversational Speech Synthesis (CSS) aims to align synthesized speech with the emotional and stylistic context of user-agent interactions to achieve empathy. Current generative CS…
Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-Speech
Shuwei He, Rui Liu
Visual Text-to-Speech (VTTS) aims to take the environmental image as the prompt to synthesize reverberant speech for the spoken content. Previous works focus on the RGB modality fo…
Fine-Grained Quantitative Emotion Editing for Speech Generation
Sho Inoue, Kun Zhou, Shuai Wang +1
It remains a significant challenge how to quantitatively control the expressiveness of speech emotion in speech generation. In this work, we present a novel approach for manipulati…
FluentEditor: Text-based Speech Editing by Considering Acoustic and Prosody Consistency
Rui Liu, Jiatian Xi, Ziyue Jiang +1
Text-based speech editing (TSE) techniques are designed to enable users to edit the output audio by modifying the input text transcript instead of the audio itself. Despite much pr…