88 citations · 108 across the 6 of their papers we have counts for
6 papers
DNN-based Speaker Embedding Using Subjective Inter-speaker Similarity for Multi-speaker Modeling in Speech Synthesis
Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
This paper proposes novel algorithms for speaker embedding using subjective inter-speaker similarity based on deep neural networks (DNNs). Although conventional DNN-based speaker e…
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation
Yuki Kubo, Norihiro Takamune, Daichi Kitamura +1
In this paper, we propose a new algorithm that efficiently separates a directional source and diffuse background noise based on independent low-rank matrix analysis (ILRMA). ILRMA…
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
Ryosuke Sonobe, Shinnosuke Takamichi, Hiroshi Saruwatari
Thanks to improvements in machine learning techniques including deep learning, a free large-scale speech corpus that can be shared between academic institutions and commercial comp…
Independent Low-Rank Matrix Analysis Based on Parametric Majorization-Equalization Algorithm
Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune +3
In this paper, we propose a new optimization method for independent low-rank matrix analysis (ILRMA) based on a parametric majorization-equalization algorithm. ILRMA is an efficien…
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
A method for statistical parametric speech synthesis incorporating generative adversarial networks (GANs) is proposed. Although powerful deep neural networks (DNNs) techniques can…
Independent Low-Rank Matrix Analysis Based on Complex Student's -Distribution for Blind Audio Source Separation
Shinichi Mogami, Daichi Kitamura, Yoshiki Mitsui +3
In this paper, we generalize a source generative model in a state-of-the-art blind source separation (BSS), independent low-rank matrix analysis (ILRMA). ILRMA is a unified method…