Abstract
This paper describes a singing voice synthesis system based on deep neural networks (DNNs) named Sinsy. Singing voice synthesis systems based on hidden Markov models (HMMs) have grown in the last decade. Recently, singing voice synthesis systems based on DNNs have been proposed. It has improved the naturalness of the synthesized singing voices. In this paper, we introduce several techniques, i.e., trajectory training, a vibrato model, and a time-lag model, into the DNN-based singing voice synthesis system to synthesize the high quality singing voices. Experimental results show that the DNN-based systems with these techniques outperformed the HMM-based systems. In addition, the present paper describes the details of the on-line service for singing voice synthesis.
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