April 16, 2024, 4:52 a.m. | Yi Zhong, Chen Zhang, Xule Liu, Chenxi Sun, Weishan Deng, Haifeng Hu, Zhongqian Sun

cs.CL updates on arXiv.org arxiv.org

arXiv:2305.12107v2 Announce Type: replace-cross
Abstract: While Current TTS systems perform well in synthesizing high-quality speech, producing highly expressive speech remains a challenge. Emphasis, as a critical factor in determining the expressiveness of speech, has attracted more attention nowadays. Previous works usually enhance the emphasis by adding intermediate features, but they can not guarantee the overall expressiveness of the speech. To resolve this matter, we propose Emphatic Expressive TTS (EE-TTS), which leverages multi-level linguistic information from syntax and semantics. EE-TTS contains …

abstract arxiv attention challenge cs.cl cs.sd current eess.as features information intermediate quality speech systems tts type

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