K. Tokuda

发表

The NITECH HMM-based text-to-speech system for the Blizzard Challenge 2015

Kei Sawada, Kei Hashimoto, Keiichiro Oura, 2015 .

Product of Experts for Statistical Parametric Speech Synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

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.

A Training Method of Average Voice Model for HMM-Based Speech Synthesis

K. Tokuda, J. Yamagishi, Takao Kobayashi, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Voice characteristics conversion for HMM-based speech synthesis system

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Bayesian Context Clustering Using Cross Validation for Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2011, IEICE Trans. Inf. Syst..

Minimum generation error criterion considering global/local variance for HMM-based speech synthesis

H. Zen, K. Tokuda, Yoshihiko Nankaku, 2008 .

Integration of Spectral Feature Extraction and Modeling for HMM-Based Speech Synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2014, IEICE Trans. Inf. Syst..

Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process

K. Tokuda, Takao Kobayashi, Toru Takahashi, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Directly modeling speech waveforms by neural networks for statistical parametric speech synthesis

Heiga Zen, Keiichi Tokuda, H. Zen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

State Duration Modeling for HMM-Based Speech Synthesis

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2007, IEICE Trans. Inf. Syst..

Speech parameter generation algorithms for HMM-based speech synthesis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Statistical Parametric Speech Synthesis

Heiga Zen, Keiichi Tokuda, Alan W. Black, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A Speech Parameter Generation Algorithm Considering Global Variance for HMM-Based Speech Synthesis

Keiichi Tokuda, Tomoki Toda, K. Tokuda, 2007, IEICE Trans. Inf. Syst..

Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2007, Comput. Speech Lang..

Overview of NITECH HMM-based speech synthesis system for Blizzard Challenge 2013

Kei Sawada, Kei Hashimoto, Keiichiro Oura, 2013 .

TechWare: HMM-Based Speech Synthesis Resources

K. Tokuda, Zen Heiga, 2009 .

The Blizzard Challenge 2014

S. King, K. Tokuda, A. Black, 2014 .

The HMM-based speech synthesis system (HTS) version 2.0

Heiga Zen, Keiichi Tokuda, Takashi Nose, 2007, SSW.

An HMM-Based Brazilian Portuguese Speech Synthesizer and Its Characteristics DOI: 10.14209/jcis.2006.11

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2015 .

Hidden semi-Markov model based speech synthesis

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2004, INTERSPEECH.

Speaker interpolation in HMM-based speech synthesis system

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 1997, EUROSPEECH.

Spectral estimation of speech by mel‐generalized cepstral analysis

K. Tokuda, Takao Kobayashi, S. Imai, 1993 .

A Covariance-Tying Technique for HMM-Based Speech Synthesis

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

Multi-Space Probability Distribution HMM

Keiichi Tokuda, Takashi Masuko, Noboru Miyazaki, 2002 .

Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

FUNDAMENTALS OF SPEECH SYNTHESIS BASED ON HMM

K. Tokuda, 2003 .

Face recognition based on separate lattice HMMs

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 2006 .

The training algorithm based on variational approximation for separable 2D-HMM

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 2003 .

Adaptive cepstral analysis—adaptive filtering based on cepstral representation

K. Tokuda, Takao Kobayashi, S. Shiomoto, 1991 .

Explorer A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks

K. Tokuda, J. Yamagishi, O. Watts, 2017 .

High throughput robust transversal adaptive filter based on t distribution assumption

K. Tokuda, J. Sanubari, K. Tokuda, 2001, Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257).

A robust modeling technique against training data errors for HMM-based singing voice synthesis

Kei Hashimoto, Keiichiro Oura, K. Tokuda, 2015 .

Recent development of the HMM-based singing voice synthesis system - Sinsy

Keiichiro Oura, K. Tokuda, Yoshihiko Nankaku, 2010, SSW.

Explorer Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

H. Zen, K. Tokuda, J. Yamagishi, 2009 .

E-Society Software Development Project for Speech Recognition and Synthesis(Technical Report)

Heiga Zen, Tomoki Toda, Kiyohiro Shikano, 2003 .

Overview of NITECH HMM-based text-to-speech system for Blizzard Challenge 2014

Kei Sawada, Kei Hashimoto, Keiichiro Oura, 2014 .

Special Section on Corpus-Based Speech Technologies

Keiichi Tokuda, Kiyohiro Shikano, Koichi Shinoda, 2005 .

Imposture against a Speaker Verification System Using Synthetic Speech

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 2000 .

Adaptive AR Spectral Estimation Based on Wavelet Decomposition of the Linear Prediction Error

K. Tokuda, F. Resende, M. Kaneko, 1996 .

Multi - Band Decomposition of the Linear Prediction Error Applied to Adaptive AR Spectral Estimation

K. Tokuda, A. Nishihara, F. Resende, 1997 .

Life-Like Characters. Tools, Affective Functions, and Applications

Keiichi Tokuda, Keikichi Hirose, Nobuaki Minematsu, 2003 .

Vector quantization of mel-cepstral coefficients using distortion measure for spectral analysis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 2007, Systems and Computers in Japan.

A trainable singing voice synthesis system capable of representing personal characteristics and singing styles

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 2008 .

A Singing Voice Synthesis System Based on Hidden Markov Model

Keiichi Tokuda, Tadashi Kitamura, Chiyomi Miyajima, 2003 .

Pixel-based Lip Movement Synthesis using HMMs

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 1999 .

Investigation of State Duration Model based on Gamma distribution for HMM-based Speech Synthesis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 2001 .

Simultaneous clustering of phonetic context, dimension, and state position for acoustic modeling using decision trees

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2005, Systems and Computers in Japan.

Prediction Method of Speech Recognition Performance Based on HMM-based Speech Synthesis Technique

Keiichi Tokuda, Tadashi Kitamura, Toshihiro Wakita, 2010 .

SPEECH SYNTEHSIS BASED ON HIDDEN MARKOV MODELS

K. Tokuda, 2003 .

Statistical Parametric Speech Synthesis

Heiga Zen, Keiichi Tokuda, Alan W. Black, 2007, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Training Algorithm Based on Deterministic Annealing for Bayesian Speech Recognition ◎

Kei Hashimoto, K. Tokuda, Yoshihiko Nankaku, 2009 .

Question Answering based on Automatic Utterance Clustering in Spoken Dialogue System

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2007 .

Speaker adaptation of pitch and spectrum for HMM-based speech synthesis

Keiichi Tokuda, Takao Kobayashi, Masatsune Tamura, 2002, Systems and Computers in Japan.

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

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009 .

Speaker adaptation using context clustering decision tree for HMM-based speech synthesis

Keiichi Tokuda, Takao Kobayashi, Junichi Yamagishi, 2003 .

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

Kei Hashimoto, Keiichiro Oura, K. Tokuda, 2021, IEEE Access.

Galatea : An Anthropomorphic Spoken Dialogue Agent Toolkit

Keikichi Hirose, Nobuaki Minematsu, Atsuhiko Kai, 2003 .

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

Kei Hashimoto, Keiichiro Oura, K. Tokuda, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Message from the Co-chairs

Philip N. Garner, Keiichiro Oura, K. Tokuda, 2018, The Work Life Balance Bulletin: a DOP Publication.

End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue

Kei Sawada, K. Tokuda, Yoshihiko Nankaku, 2022, INTERSPEECH.

Design of Software Toolkit for Anthropomorphic Spoken Dialog Agent Software with Customization-oriented Features

Keikichi Hirose, Nobuaki Minematsu, Atsuhiko Kai, 2002 .

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).

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

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

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).

Image recognition based on separable lattice trajectory 2-D HMMS

Yoshihiko Nankaku, Keiichi Tokuda, Akira Tamamori, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech Synthesis Based on Hidden Markov Models

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

Continuous Stochastic Feature Mapping Based on Trajectory HMMs

H. Zen, K. Tokuda, Yoshihiko Nankaku, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Estimation of Window Coefficients for Dynamic Feature Extraction for HMM-Based Speech Synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2011, INTERSPEECH.

Statistical parametric speech synthesis based on product of experts

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009 .

The NICT Entry for the Blizzard Challenge 2009: an Enhanced HMM-based Speech Synthesis System with Trajectory Training Considering Global Variance and State-Dependent Mixed Excitation

Keiichi Tokuda, Tomoki Toda, Satoshi Nakamura, 2009 .

Stereo-based stochastic noise compensation based on trajectory GMMS

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Unsupervised adaptation for HMM-based speech synthesis

Heiga Zen, Keiichi Tokuda, Simon King, 2008, INTERSPEECH.

Statistical approach to vocal tract transfer function estimation based on factor analyzed trajectory HMM

Keiichi Tokuda, Tomoki Toda, K. Tokuda, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Statistical mapping between articulatory movements and acoustic spectrum using a Gaussian mixture model

Keiichi Tokuda, Tomoki Toda, Alan W. Black, 2008, Speech Commun..

Probabilistic feature mapping based on trajectory HMMs

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2008, INTERSPEECH.

Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory

Tomoki Toda, Keiichi Tokuda, Alan W. Black, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Model-space MLLR for trajectory HMMs

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2007, INTERSPEECH.

Speaker adaptation of trajectory HMMs using feature-space MLLR

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2006, INTERSPEECH.

Eigenvoices for HMM-based speech synthesis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 2002, INTERSPEECH.

Adaptation of pitch and spectrum for HMM-based speech synthesis using MLLR

Keiichi Tokuda, Takao Kobayashi, Masatsune Tamura, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Simultaneous modeling of spectrum, pitch and duration in HMM-based speech synthesis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 1999, EUROSPEECH.

Hidden Markov models based on multi-space probability distribution for pitch pattern modeling

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

An algorithm for speech parameter generation from continuous mixture HMMs with dynamic features

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 1995, EUROSPEECH.

Speech parameter generation from HMM using dynamic features

K. Tokuda, T. Kobayashi, S. Imai, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

An adaptive algorithm for mel-cepstral analysis of speech

Keiichi Tokuda, Takao Kobayashi, T. Fukada, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Speaker-Independent HMM-based Speech Synthesis System: HTS-2007 System for the Blizzard Challenge 2007

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007 .

Mel-generalized cepstral analysis - a unified approach to speech spectral estimation

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 1994, ICSLP.

Adaptive cepstral analysis of speech

Keiichi Tokuda, Takao Kobayashi, Satoshi Imai, 1995, IEEE Trans. Speech Audio Process..

Adaptive filtering based on cepstral representation-adaptive cepstral analysis of speech

Keiichi Tokuda, Takao Kobayashi, Satoshi Imai, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Speech coding based on adaptive mel-cepstral analysis

Takao Kobayashi, Kazuhito Koishida, Keiichi Tokuda, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Hidden Semi-Markov Model Based Speech Synthesis System

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2006 .

Generalized cepstral analysis of speech - unified approach to LPC and cepstral method

Keiichi Tokuda, Takao Kobayashi, Satoshi Imai, 1990, ICSLP.

An analysis of machine translation and speech synthesis in speech-to-speech translation system

Keiichi Tokuda, William J. Byrne, Simon King, 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.

The blizzard challenge - 2005: evaluating corpus-based speech synthesis on common datasets

Keiichi Tokuda, Alan W. Black, K. Tokuda, 2005, INTERSPEECH.

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.

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

Kei Hashimoto, Keiichiro Oura, K. Tokuda, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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).

Singing Voice Synthesis Based on Deep Neural Networks

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

Speaker adaptation for HMM-based speech synthesis system using MLLR

Keiichi Tokuda, Takao Kobayashi, Masatsune Tamura, 1998, SSW.

Speech synthesis using HMMs with dynamic features

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis

Kei Sawada, Kei Hashimoto, Keiichiro Oura, 2020, INTERSPEECH.

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural $F_0$ Model for Statistical Parametric Speech Synthesis

Simon King, Junichi Yamagishi, Shinji Takaki, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Singing voice synthesis based on frame-level sequence-to-sequence models considering vocal timing deviation

Kei Hashimoto, K. Tokuda, Yoshihiko Nankaku, 2023, arXiv.org.

Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism

Kei Hashimoto, K. Tokuda, Yoshihiko Nankaku, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Singing voice synthesis based on convolutional neural networks pdf

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

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).

Directly modeling voiced and unvoiced components in speech waveforms by neural networks

Heiga Zen, Keiichi Tokuda, H. Zen, 2016, 2016 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).

An HMM-based singing voice synthesis system

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2006, INTERSPEECH.

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.

XIMERA: a new TTS from ATR based on corpus-based technologies

Keiichi Tokuda, Tomoki Toda, Hisashi Kawai, 2004, SSW.

Lip Location Normalized Training for Visual Speech Recognition

Keiichi Tokuda, Tadashi Kitamura, Oscar Vanegas, 2000 .

Normalized training for HMM-based visual speech recognition

Yoshihiko Nankaku, Keiichi Tokuda, Takao Kobayashi, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Galatea: Open-Source Software for Developing Anthropomorphic Spoken Dialog Agents

Keiichi Tokuda, Keikichi Hirose, Nobuaki Minematsu, 2004, Life-like characters.

An extension of Separable Lattice 2-D HMMS for rotational data variations

Yoshihiko Nankaku, Keiichi Tokuda, Akira Tamamori, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

The Nitech-NAIST HMM-Based Speech Synthesis System for the Blizzard Challenge 2006

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2006, IEICE Trans. Inf. Syst..

CELP speech coding based on mel‐generalized cepstral analyses

Keiichi Tokuda, Takao Kobayashi, Satoshi Imai, 2000 .

Efficient encoding of mel-generalized cepstrum for CELP coders

Keiichi Tokuda, Takao Kobayashi, Satoshi Imai, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

CELP coding based on mel-cepstral analysis

Keiichi Tokuda, Takao Kobayashi, Satoshi Imai, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Statistical Approach to Speech Synthesis: Past, Present and Future

Keiichi Tokuda, K. Tokuda, 2019, INTERSPEECH.

Noisy environment adaptation of HMM using ML parameter generation.

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 1996 .

Proceedings of the ACL 2010 System Demonstrations

Keiichi Tokuda, Mikko Kurimo, Simon King, 2010 .

2-D LMA Filters -Design of Stable Two-Dimensional Digital Filters with Arbitrary Magnitude Function-

Keiichi Tokuda, Takao Kobayashi, Satoshi Imai, 1992 .

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

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

Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler

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

Reformulating the HMM as a Trajectory Model

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004 .

A Viterbi algorithm for a trajectory model derived from HMM with explicit relationship between static and dynamic features

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Trajectory modeling based on HMMs with the explicit relationship between static and dynamic features

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2003, INTERSPEECH.

A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks

Keiichi Tokuda, Oliver Watts, Junichi Yamagishi, 2016, INTERSPEECH.

Details of the Nitech HMM-Based Speech Synthesis System for the Blizzard Challenge 2005

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007, IEICE Trans. Inf. Syst..

A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction

Keiichi Tokuda, Shigeru Katagiri, Tadashi Kitamura, 2001, Speech Commun..

Acoustic-to-articulatory inversion mapping with Gaussian mixture model

Keiichi Tokuda, Tomoki Toda, Alan W. Black, 2004, INTERSPEECH.

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).

Improved average-voice-based speech synthesis using gender-mixed modeling and a parameter generation algorithm considering GV

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007, SSW.

Speaker-Independent HMM-based Speech Synthesis System

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007 .

A bayesian framework for image recognition based on hidden markov eigen‐image models

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING.

A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2016, IEICE Trans. Inf. Syst..

Image recognition based on hidden Markov eigen-image models using variational Bayesian method

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Face recognition based on extended separable lattice 2-D HMMS

Yoshihiko Nankaku, Keiichi Tokuda, Keisuke Kumaki, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Face recognition based on separable lattice 2-D HMM with state duration modeling

Yoshihiko Nankaku, Keiichi Tokuda, Yoshiaki Takahashi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Face Recognition using Hidden Markov Eigenface Models

Yoshihiko Nankaku, Keiichi Tokuda, K. Tokuda, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Face Recognition Based on Separable Lattice HMMS

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

Mixed excitation for HMM-based speech synthesis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 2001, INTERSPEECH.

A Frame-Based Context-Dependent Acoustic Modeling for Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010 .

A Context Clustering Technique for Average Voice Models

Masatsune Tamura, Junichi Yamagishi, Takao Kobayashi, 2003 .

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).

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

Keiichi Tokuda, Kei Hashimoto, Kei Sawada, 2016 .

New adaptive algorithms based on multi-band decomposition of the error signal

Keiichi Tokuda, Akinori Nishihara, Paulo S. R. Diniz, 1998 .

Multi-band decomposition of the linear prediction error applied to the least-mean-square method with fixed and variable step-sizes

K. Tokuda, P. Diniz, M. Kaneko, 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

RLS algorithms for adaptive AR spectrum analysis based on multi-band decomposition of the linear prediction error

Keiichi Tokuda, Akinori Nishihara, Mineo Kaneko, 1996, Proceedings of Digital Processing Applications (TENCON '96).

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

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

Recent advances in statistical parametric speech synthesis

Keiichi Tokuda, K. Tokuda, 2010 .

Reducing computation on parallel decoding using frame-wise confidence scores

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2006, Interspeech.

A Study on Phoneme Models for Speech Synsesis Using HMMs.

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 1996 .

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).

Contextual Additive Structure for HMM-Based Speech Synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Shinji Takaki, 2014, IEEE Journal of Selected Topics in Signal Processing.

Contextual partial additive structure for HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Shinji Takaki, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kazuhiro Nakamura, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

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).

Factor analyzed voice models for HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kyosuke Kazumi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Minimum generation error training by using original spectrum as reference for log spectral distortion measure

Keiichi Tokuda, Yi-Jian Wu, K. Tokuda, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis

Keiichi Tokuda, Simon King, Yi-Jian Wu, 2008, 2008 6th International Symposium on Chinese Spoken Language Processing.

Analysis of stream-dependent tying structure for HMM-based speech synthesis

Yi-Jian Wu, H. Zen, K. Tokuda, 2008, 2008 9th International Conference on Signal Processing.

Duration modeling for HMM-based speech synthesis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 1998, ICSLP.

A very low bit rate speech coder using HMM-based speech recognition/synthesis techniques

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Simultaneous optimization of multiple tree structures for factor analyzed HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2015, INTERSPEECH.

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

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

Spectral modeling with contextual additive structure for HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Shinji Takaki, 2010, SSW.

State mapping based method for cross-lingual speaker adaptation in HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Yi-Jian Wu, 2009, INTERSPEECH.

An improved minimum generation error based model adaptation for HMM-based speech synthesis

Keiichi Tokuda, Long Qin, Yi-Jian Wu, 2009, INTERSPEECH.

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

Kei Hashimoto, Sayaka Shiota, Keiichiro Oura, 2009 .

Minimum generation error training with direct log spectral distortion on LSPs for HMM-based speech synthesis

Keiichi Tokuda, Yi-Jian Wu, K. Tokuda, 2008, INTERSPEECH.

An introduction of trajectory model into HMM-based speech synthesis

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004, SSW.

Image recognition based on separable lattice trajectory 2-D HMMS

Yoshihiko Nankaku, Keiichi Tokuda, Akira Tamamori, 2013, IEEE International Conference on Acoustics, Speech, and Signal Processing.

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.

A Deterministic Annealing-Based Training Algorithm For Statistical Machine Translation Models

Yoshihiko Nankaku, Keiichi Tokuda, Pascual Martínez-Gómez, 2010, EAMT.

SPTK4: An Open-Source Software Toolkit for Speech Signal Processing

Keiichiro Oura, K. Tokuda, Takenori Yoshimura, 2023, 12th ISCA Speech Synthesis Workshop (SSW2023).

Spectral conversion based on maximum likelihood estimation considering global variance of converted parameter

Keiichi Tokuda, Tomoki Toda, Alan W. Black, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

HMM-based text-to-audio-visual speech synthesis

Keiichi Tokuda, Takao Kobayashi, Tadashi Kitamura, 2000, INTERSPEECH.

A robust speaker verification system against imposture using an HMM-based speech synthesis system

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 2001, INTERSPEECH.

A Robust Speaker Veriﬁcation System against Imposture Using an HMM-based Speech Synthesis System

K. Tokuda, T. Masuko, Takao Kobayashi, 2021 .

Sparse KPCA for feature extraction in speech recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Applying Sparse KPCA for Feature Extraction in Speech Recognition

H. Zen, K. Tokuda, Yoshihiko Nankaku, 2005, IEICE Trans. Inf. Syst..

Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification

K. Tokuda, Yoshihiko Nankaku, C. Miyajima, 2005, IEICE Trans. Inf. Syst..

Text-to-visual speech synthesis based on parameter generation from HMM

Keiichi Tokuda, Takao Kobayashi, Masatsune Tamura, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Speech Synthesis Based on Hidden Markov Models

H. Zen, Keiichiro Oura, K. Tokuda, 2013, Proceedings of the IEEE.

On the Use of Kernel PCA for Feature Extraction in Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2003, IEICE Trans. Inf. Syst..

A 16kb/s Wideband CELP-Based Speech Coder Using Mel-Generalized Cepstral Analysis

Keiichi Tokuda, Takao Kobayashi, Kazuhito Koishida, 2000 .

Improving the performance of HMM-based very low bit rate speech coding

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Text-to-speech synthesis with arbitrary speaker's voice from average voice

Keiichi Tokuda, Takao Kobayashi, Masatsune Tamura, 2001, INTERSPEECH.

Visual Speech Synthesis Based on Parameter Generation From HMM: Speech-Driven and Text-And-Speech-Driven Approaches

Keiichi Tokuda, Takao Kobayashi, Masatsune Tamura, 1998, AVSP.

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).

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

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018 .

Voice conversion based on simultaneous modelling of spectrum and F0

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Bayesian Approach to Voice Conversion Based on GMMs Using Multiple Model Structures

Yoshihiko Nankaku, Keiichi Tokuda, Lei Li, 2011, INTERSPEECH.

Speaker adaptation based on nonlinear spectral transform for speech recognition

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2010, INTERSPEECH.

Vector Quantization of Speech Spectral Parameters Using Statistics of Static and Dynamic Features

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 2001 .

Constructing emotional speech synthesizers with limited speech database

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004, INTERSPEECH.

Imposture using synthetic speech against speaker verification based on spectrum and pitch

Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, 2000, INTERSPEECH.

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).

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

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

A Bayesian approach to HMM-based speech synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Articulatory Text-to-Speech Synthesis Using the Digital Waveguide Mesh Driven by a Deep Neural Network

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2017, INTERSPEECH.

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).

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

Keiichiro Oura, K. Tokuda, J. Yamagishi, 2012, Speech Commun..