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StoryTTS: A Highly Expressive Text-to-Speech Dataset with Rich Textual Expressiveness Annotations
April 24, 2024, 4:47 a.m. | Sen Liu, Yiwei Guo, Xie Chen, Kai Yu
cs.CL updates on arXiv.org arxiv.org
Abstract: While acoustic expressiveness has long been studied in expressive text-to-speech (ETTS), the inherent expressiveness in text lacks sufficient attention, especially for ETTS of artistic works. In this paper, we introduce StoryTTS, a highly ETTS dataset that contains rich expressiveness both in acoustic and textual perspective, from the recording of a Mandarin storytelling show. A systematic and comprehensive labeling framework is proposed for textual expressiveness. We analyze and define speech-related textual expressiveness in StoryTTS to include …
abstract annotations arxiv attention cs.cl cs.sd dataset eess.as paper speech text text-to-speech textual type
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