88 citations · 308 across the 88 of their papers we have counts for
10 papers · 1 filter
Incremental Text-to-Speech Synthesis Using Pseudo Lookahead with Large Pretrained Language Model
Takaaki Saeki, Shinnosuke Takamichi, Hiroshi Saruwatari
This letter presents an incremental text-to-speech (TTS) method that performs synthesis in small linguistic units while maintaining the naturalness of output speech. Incremental TT…
JSSS: free Japanese speech corpus for summarization and simplification
Shinnosuke Takamichi, Mamoru Komachi, Naoko Tanji +1
In this paper, we construct a new Japanese speech corpus for speech-based summarization and simplification, "JSSS" (pronounced "j-triple-s"). Given the success of reading-style spe…
Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes
Kentaro Mitsui, Tomoki Koriyama, Hiroshi Saruwatari
Multi-speaker speech synthesis is a technique for modeling multiple speakers' voices with a single model. Although many approaches using deep neural networks (DNNs) have been propo…
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution
Keigo Kamo, Yuki Kubo, Norihiro Takamune +4
In this paper, we address a statistical model extension of multichannel nonnegative matrix factorization (MNMF) for blind source separation, and we propose a new parameter update a…
Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit
Tomoki Koriyama, Hiroshi Saruwatari
This paper presents a deep Gaussian process (DGP) model with a recurrent architecture for speech sequence modeling. DGP is a Bayesian deep model that can be trained effectively wit…
Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune +4
In this paper, we address a blind source separation (BSS) problem and propose a new extended framework of independent positive semidefinite tensor analysis (IPSDTA). IPSDTA is a st…