3 papers
cs.SD2025
AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis
Dan Luo, Chengyuan Ma, Weiqin Li +3
With the advancement of speech synthesis technology, users have higher expectations for the naturalness and expressiveness of synthesized speech. But previous research ignores the…
cs.SD2024
Rhythmic Foley: A Framework For Seamless Audio-Visual Alignment In Video-to-Audio Synthesis
Zhiqi Huang, Dan Luo, Jun Wang +3
Our research introduces an innovative framework for video-to-audio synthesis, which solves the problems of audio-video desynchronization and semantic loss in the audio. By incorpor…
eess.AS2024
AS-Speech: Adaptive Style For Speech Synthesis
Zhipeng Li, Xiaofen Xing, Jun Wang +4
In recent years, there has been significant progress in Text-to-Speech (TTS) synthesis technology, enabling the high-quality synthesis of voices in common scenarios. In unseen situ…