activity
20192022
most citedSinsy: A Deep Neural Network-Based Singing Voice Synthesis System

35 citations · 72 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2022★ 1 cited

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

Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura +5

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

eess.AS2021★ 4 cited

Neural Sequence-to-Sequence Speech Synthesis Using a Hidden Semi-Markov Model Based Structured Attention Mechanism

Yoshihiko Nankaku, Kenta Sumiya, Takenori Yoshimura +4

This paper proposes a novel Sequence-to-Sequence (Seq2Seq) model integrating the structure of Hidden Semi-Markov Models (HSMMs) into its attention mechanism. In speech synthesis, i…

eess.AS2021★ 35 cited

Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System

Yukiya Hono, Kei Hashimoto, Keiichiro Oura +2

This paper presents Sinsy, a deep neural network (DNN)-based singing voice synthesis (SVS) system. In recent years, DNNs have been utilized in statistical parametric SVS systems, a…

eess.AS2021★ 1 cited

PeriodNet: A non-autoregressive waveform generation model with a structure separating periodic and aperiodic components

Yukiya Hono, Shinji Takaki, Kei Hashimoto +3

We propose PeriodNet, a non-autoregressive (non-AR) waveform generation model with a new model structure for modeling periodic and aperiodic components in speech waveforms. The non…

eess.AS2020★ 2 cited

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis

Yukiya Hono, Kazuna Tsuboi, Kei Sawada +4

This paper proposes a hierarchical generative model with a multi-grained latent variable to synthesize expressive speech. In recent years, fine-grained latent variables are introdu…

eess.AS2019★ 2 cited

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

Kazuhiro Nakamura, Shinji Takaki, Kei Hashimoto +3

The present paper describes singing voice synthesis based on convolutional neural networks (CNNs). Singing voice synthesis systems based on deep neural networks (DNNs) are currentl…

eess.AS2019★ 27 cited

Singing voice synthesis based on convolutional neural networks

Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura +2

The present paper describes a singing voice synthesis based on convolutional neural networks (CNNs). Singing voice synthesis systems based on deep neural networks (DNNs) are curren…