Titlebook: Advances in Neural Networks – ISNN 2024; 18th International S Xinyi Le,Zhijun Zhang Conference proceedings 2024 The Editor(s) (if applicabl

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Grundzüge der VolkswirtschaftslehreTS) vocoders cannot reconstruct the waveform well in this scenario. In this paper, we propose HiFi-WaveGAN to synthesize the 48?kHz high-quality singing voices in real-time. Specifically, it consists of an Extended WaveNet that served as a generator, a multi-period discriminator proposed in HiFiGAN,

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Grundzüge der Volkswirtschaftslehreiffusion models, our method combines latent 3D knowledge as priors to reconstruct 3D scenes. This facilitates the generation of high-fidelity 3D content from a solitary 2D viewpoint. We employ a two-stage process, beginning with fine-tuning a diffusion model on a given image viewpoint, followed by o

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https://doi.org/10.1007/978-3-322-83664-9Voice Synthesis (SVS) systems, which led to an increase in the demand for accurately labeled data. In response to this need, this work introduces an Aligned Phoneme Sequence Transcription (APST) model for automatic song datasets annotation, called PhonHuBERT. This model uses HuBERT - a pre-trained s

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