Search Results for author: Kazuhiro Nakamura

Found 3 papers, 1 papers with code

Embedding a Differentiable Mel-cepstral Synthesis Filter to a Neural Speech Synthesis System

1 code implementation21 Nov 2022 Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura, Keiichiro Oura, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

This paper integrates a classic mel-cepstral synthesis filter into a modern neural speech synthesis system towards end-to-end controllable speech synthesis.

Speech Synthesis

Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks

no code implementations24 Oct 2019 Kazuhiro Nakamura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Singing voice synthesis systems based on deep neural networks (DNNs) are currently being proposed and are improving the naturalness of synthesized singing voices.

Singing voice synthesis based on convolutional neural networks

no code implementations15 Apr 2019 Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Then, an acoustic feature sequence of an arbitrary musical score is output in units of frames by the trained DNNs, and a natural trajectory of a singing voice is obtained by using a parameter generation algorithm.

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