The article presents research on a neural vocoder based on a denoising diffusion probabilistic model (DDPM), which incorporates explicit periodic signals as auxiliary conditioning signals. The proposed model can generate…
Continue readingThe article discusses a framework for training singer identity encoders that can extract representations suitable for singing-related tasks. Different self-supervised learning techniques are explored on a large collection of isolated…
Continue readingThis paper presents CrossSinger, a cross-lingual singing voice synthesizer based on Xiaoicesing2. The system is notable for its ability to produce high-fidelity singing voices from monolingual singers in multiple languages….
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