Keiichiro Oura

发表

Speech Synthesis Using WaveNet Vocoder Based on Periodic/Aperiodic Decomposition

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Trajectory training considering global variance for speech synthesis based on neural networks

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Singing Voice Synthesis Based on Deep Neural Networks

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2016, INTERSPEECH.

Gesture Control of HMM-Based Singing Voice Synthesis

Junichi Yamagishi, Christophe Veaux, Maria Astrinaki, 2013 .

Using speaker adaptive training to realize Mandarin-Tibetan cross-lingual speech synthesis

Keiichi Tokuda, Haiyan Wang, Zhenye Gan, 2014, Multimedia Tools and Applications.

HMM-Based singing voice synthesis and its application to Japanese and English

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Real-time control of expressive speech synthesis using kinect body tracking

Junichi Yamagishi, Christophe Veaux, Maria Astrinaki, 2013, SSW.

Singing Voice Conversion Using Posted Waveform Data on Music Social Media

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

HMM-based singing voice synthesis system using pitch-shifted pseudo training data

Yoshihiko Nankaku, Keiichi Tokuda, Keiichiro Oura, 2010, INTERSPEECH.

Mel-Cepstrum-Based Quantization Noise Shaping Applied to Neural-Network-Based Speech Waveform Synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project

Keiichi Tokuda, Mikko Kurimo, William J. Byrne, 2010, SSW.

Voice interaction system with 3D-CG virtual agent for stand-alone smartphones

Keiichi Tokuda, Daisuke Yamamoto, Takahiro Uchiya, 2014, HAI.

Proceedings of the ACL 2010 System Demonstrations

Keiichi Tokuda, Mikko Kurimo, Simon King, 2010 .

User Generated Dialogue Systems: uDialogue

Yoshihiko Nankaku, Keiichi Tokuda, Junichi Yamagishi, 2017, Human-Harmonized Information Technology.

Speaker-dependent Wavenet-based Delay-free Adpcm Speech Coding

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hidden Semi-Markov Model Based Speech Recognition System using Weighted Finite-State Transducer

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Image Recognition Based on Convolutional Neural Networks Using Features Generated from Separable Lattice Hidden Markov Models

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Cross-lingual speaker adaptation based on factor analysis using bilingual speech data for HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2013, SSW.

Redefining the Linguistic Context Feature Set for HMM and DNN TTS Through Position and Parsing

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2016, INTERSPEECH.

Impacts of input linguistic feature representation on Japanese end-to-end speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2019 .

Proc. 2009 Asia-Pacific Signal and Information Processing Association (APSIPA)

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009 .

A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2008, IEICE Trans. Inf. Syst..

Recent Development of the DNN-based Singing Voice Synthesis System — Sinsy

Yoshihiko Nankaku, Keiichiro Oura, Satoru Muto, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2010

Kei Hashimoto, Sayaka Shiota, Keiichiro Oura, 2009 .

Recent development of the HMM-based speech synthesis system (HTS)

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009 .

Semi-Supervised Learning Based on Hierarchical Generative Models for End-to-End Speech Synthesis

Yoshihiko Nankaku, Kei Hashimoto, Shinji Takaki, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mmdagent—A fully open-source toolkit for voice interaction systems

Keiichi Tokuda, Akinobu Lee, Keiichiro Oura, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Tying covariance matrices to reduce the footprint of HMM-based speech synthesis systems

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2009, INTERSPEECH.

A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2014, INTERSPEECH.

Deep neural network based real-time speech vocoder with periodic and aperiodic inputs

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2019, 10th ISCA Workshop on Speech Synthesis (SSW 10).

Low computational cost speech synthesis based on deep neural networks using hidden semi-Markov model structures

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2019 .

An optimization algorithm of independent mean and variance parameter tying structures for HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Shinji Takaki, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Thousands of Voices for HMM-Based Speech Synthesis–Analysis and Application of TTS Systems Built on Various ASR Corpora

Simon King, Mikko Kurimo, Oliver Watts, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Speaker Adaptation for Speech Synthesis Based on Deep Neural Networks Using Hidden Semi-Markov Model Structures

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

The NITech text-to-speech system for the Blizzard Challenge 2016

Keiichi Tokuda, Kei Hashimoto, Kei Sawada, 2016 .

Generalization of Thai tone contour in HMM-based speech synthesis

Keiichi Tokuda, Keiichiro Oura, Anocha Rugchatjaroen, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

The effect of neural networks in statistical parametric speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Eighth ISCA Tutorial and Research Workshop on Speech Synthesis, Barcelona, Spain, August 31-September 2, 2013

Junichi Yamagishi, Christophe Veaux, Maria Astrinaki, 2013, SSW.

Constructing text-to-speech systems for languages with unknown pronunciations

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018 .

Singing Voice Synthesis Based on Generative Adversarial Networks

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised speaker adaptation for speech-to-speech translation system (言語理解とコミュニケーション)

Simon King, Junichi Yamagishi, Mirjam Wester, 2009 .

Simultaneous Optimization of Multiple Tree-Based Factor Analyzed HMM for Speech Synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Cross-lingual speaker adaptation for HMM-based speech synthesis considering differences between language-dependent average voices

Yoshihiko Nankaku, Keiichi Tokuda, Keiichiro Oura, 2010 .

Singing voice synthesis based on convolutional neural networks pdf

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2019, ArXiv.

Temporal modeling in neural network based statistical parametric speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2016, SSW.

Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

Keiichi Tokuda, Simon King, Junichi Yamagishi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Realizing Tibetan speech synthesis by speaker adaptive training

Keiichi Tokuda, Zhenye Gan, Hongwu Yang, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Speech Synthesis Based on Hidden Markov Models

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2013, Proceedings of the IEEE.

Large-Scale Subjective Evaluations of Speech Rate Control Methods for HMM-Based Speech Synthesizers

Keiichi Tokuda, Makoto Yamada, Tsuneo Kato, 2011, INTERSPEECH.

Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Keiichiro Oura, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Personalising Speech-To-Speech Translation in the EMIME Project

Mikko Kurimo, William J. Byrne, Simon King, 2010, ACL.

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

Keiichi Tokuda, Mikko Kurimo, William J. Byrne, 2013, Comput. Speech Lang..

Pitch adaptive training for hmm-based singing voice synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2014, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Covariance-Tying Technique for HMM-Based Speech Synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010, IEICE Trans. Inf. Syst..

Statistical Voice Conversion Based on Wavenet

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

WaveNet-Based Zero-Delay Lossless Speech Coding

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

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

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance

Yoshihiko Nankaku, Keiichi Tokuda, Naoki Hosaka, 2016, INTERSPEECH.

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis

Yoshihiko Nankaku, Kei Hashimoto, Kei Sawada, 2020, INTERSPEECH.

Simultaneous Acoustic, Prosodic, and Phrasing Model Training for TTs Conversion Systems

Yoshihiko Nankaku, Keiichi Tokuda, Tomoki Toda, 2008, 2008 6th International Symposium on Chinese Spoken Language Processing.

Analysis of unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using KLD-based transform mapping

Keiichi Tokuda, Simon King, Junichi Yamagishi, 2012, Speech Commun..

Unsupervised English-to-Japanese speaker adaptation for HMM-based speech synthesis.

Keiichi Tokuda, Simon King, Junichi Yamagishi, 2009 .

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

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

PeriodNet: A Non-Autoregressive Raw Waveform Generative Model With a Structure Separating Periodic and Aperiodic Components

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2021, IEEE Access.

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

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2021, 2108.13985.

Periodnet: A Non-Autoregressive Waveform Generation Model with a Structure Separating Periodic and Aperiodic Components

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

List of modifications made in HTS (for version 2.2)

Keiichiro Oura, Keiichiro Oura, 2011 .