Singing voice synthesis systems based on deep neural networks (DNNs) are currently being proposed and are improving the naturalness of synthesized singing voices. In these systems, the relationship between musical score feature sequences and acoustic feature sequences extracted from singing voices is modeled by DNNs.
Apr 15, 2019
In this paper, we propose singing voice synthesis based on a DNN and evaluate its effectiveness. The relationship between the musical score and its acoustic ...
Subjective experimental results show that the DNN- based system outperformed the HMM-based system in terms of naturalness, and the relationship between the ...
Aug 5, 2021 · This paper presents Sinsy, a deep neural network (DNN)-based singing voice synthesis (SVS) system. In recent years, DNNs have been utilized in statistical ...
Singing voice synthesis has been studied in different aspects, including lyrics-to-singing alignment [1,2], parametric synthesis [3], acoustic modeling [4] ...
This paper describes a singing voice synthesis system based on deep neural networks (DNNs) named Sinsy.
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Oct 18, 2022 · This paper describes the design of NNSVS, an open-source software for neural network-based singing voice synthesis research.
The neural network (NN) based singing voice synthesis (SVS) systems require sufficient data to train well and are prone to over-fitting due to data scarcity.
Singing voice synthesis systems based on deep neural networks (DNNs) are currently being proposed and are improving the naturalness of synthesized singing ...
The present paper describes a singing voice synthesis based on convolutional neural networks (CNNs) that can synthesize natural sounding singing voices.