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title
Learning the Beauty in Songs: Neural Singing Voice Beautifier
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Learning the Beauty in Songs: Neural Singing Voice Beautifier
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Learning the Beauty in Songs: Neural Singing Voice Beautifier Skip to the content. Learning the Beauty in Songs: Neural Singing Voice Beautifier Learning the Beauty in Songs: Neural Singing Voice Beautifier Jinglin Liu, Chengxi Li, Yi Ren, Zhiying Zhu, Zhou Zhao Zhejiang University ACL 2022 Main conference Code project: NeuralSVB Related project: DiffSinger Abstract We are interested in a novel task, singing voice beautifying (SVB). Given the singing voice of an amateur singer, SVB aims to improve the intonation and vocal tone of the voice, while keeping the content and vocal timbre. Current automatic pitch correction techniques are immature, and most of them are restricted to intonation but ignore the overall aesthetic quality. Hence, we introduce Neural Singing Voice Beautifier (NSVB), the first generative model to solve the SVB task, which adopts a conditional variational autoencoder as the backbone and learns the latent representations of vocal tone. In NSVB, ...
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