Titlebook: Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing; Proceeding of the Fo Jeng-Shyang Pan,Akinori Ito,Lakhmi

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Melody Completion Based on Convolutional Neural Networks and Generative Adversarial Learningto help people compose or arrange pieces of music in several ways, such as editing existing melodies or connecting two other melodies. In recent years, various methods have been proposed for realizing high-quality completion via neural networks. Therefore, in this research, we examine a method of me

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Segmental Pitch Control Using Speech Input Based on Differential Contexts and Features for Customizah synthesis based on deep neural networks (DNNs). In a previous study, we proposed tailor-made speech synthesis, the speech synthesis technique which enables users to control the synthetic speech naturally and intuitively. We introduced differential fundamental frequency (F0) contexts into speaker m

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Two-Stage Sequence-to-Sequence Neural Voice Conversion with Low-to-High Definition Spectrogram Mappix. Using U-Net, we tried to reproduce intonation of a target speaker by performing low-dimensional feature conversion considering the time direction. We introduced pix2pix for the task of spectrogram enhancement. The pix2pix is trained to map from low definition spectrogram to high definition spectr

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