3 papers
eess.AS2024
Text-aware and Context-aware Expressive Audiobook Speech Synthesis
Dake Guo, Xinfa Zhu, Liumeng Xue +3
Recent advances in text-to-speech have significantly improved the expressiveness of synthetic speech. However, a major challenge remains in generating speech that captures the dive…
cs.SD2024
Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation
Kun Wei, Bei Li, Hang Lv +3
Automatic Speech Recognition (ASR) in conversational settings presents unique challenges, including extracting relevant contextual information from previous conversational turns. D…
eess.AS2024
Boosting Multi-Speaker Expressive Speech Synthesis with Semi-supervised Contrastive Learning
Xinfa Zhu, Yuke Li, Yi Lei +3
This paper aims to build a multi-speaker expressive TTS system, synthesizing a target speaker's speech with multiple styles and emotions. To this end, we propose a novel contrastiv…