Yoshihiko Nankaku

发表

Spectral conversion based on statistical models including time-sequence matching

Yoshihiko Nankaku, Keiichi Tokuda, Tomoki Toda, 2007, SSW.

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.

Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2005, IEICE Trans. Inf. Syst..

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.

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

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

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).

An HMM-based singing voice synthesis system

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

Singing Voice Synthesis Based on Deep Neural Networks

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

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.

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).

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..

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.

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

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

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.

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

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 2008 .

Voice conversion based on mixtures of factor analyzers

Yoshihiko Nankaku, Keiichi Tokuda, Tomoki Toda, 2006, INTERSPEECH.

Reducing computation on parallel decoding using frame-wise confidence scores

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

Evaluation of Tree-Trellis Based Decoding in Over-Million LVCSR

Yoshihiko Nankaku, Akinobu Lee, Naoaki Ito, 2011, INTERSPEECH.

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).

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

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

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).

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

Yoshihiko Nankaku, Keiichi Tokuda, Akira Tamamori, 2010, ICASSP 2010.

A Bayesian approach to Hidden Semi-Markov Model based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2009, INTERSPEECH.

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).

Multi-Speaker Modeling with Shared Prior Distributions and Model Structures for Bayesian Speech Synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2011, INTERSPEECH.

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

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

Bayesian speech synthesis framework integrating training and synthesis processes

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2010, SSW.

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.

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.

Deterministic annealing EM algorithm in parameter estimation for acoustic model

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2004, INTERSPEECH.

Model-space MLLR for trajectory HMMs

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

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).

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

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

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.

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.

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

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2019 .

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

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

Prosodically-enhanced recurrent neural network language models

Yoshihiko Nankaku, Steve Renals, Akinobu Lee, 2015, INTERSPEECH.

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).

Continuous Speech Recognition Based on General Factor Dependent Acoustic Models(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies)

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2005 .

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.

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).

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.

Speaker recognition based on variational Bayesian method

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2008, INTERSPEECH.

Image recognition based on discriminative models using features generated from separable lattice HMMS

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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 .

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.

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).

Probabilistic answer selection based on conditional random fields for spoken dialog system

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2008, INTERSPEECH.

Continuous Speech Recognition Based on General Factor Dependent Acoustic Models

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2005, IEICE Trans. Inf. Syst..

ICSLP 2006 Summary -Acoustic Modeling and Speech Synthesis-

Heiga Zen, Yoshihiko Nankaku, Tomoki Toda, 2006 .

Statistical parametric synthesis based on products of experts

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010 .

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

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

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).

A model structure integration based on a Bayesian framework for speech recognition

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

Speaker adaptation of trajectory HMMs using feature-space MLLR

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

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.

Separable lattice 2-D HMMS introducing state duration control for recognition of images with various variations

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

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.

Speaker adaptation based on nonlinear spectral transform for speech recognition

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

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).

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

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

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

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

Contextual Additive Structure for HMM-Based Speech Synthesis

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

Acoustic modeling with contextual additive structure for HMM-based speech recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Normalized training for HMM‐Based visual speech recognition

Yoshihiko Nankaku, Keiichi Tokuda, Takao Kobayashi, 2006 .

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

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018 .

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.

A trainable excitation model for HMM-based speech synthesis

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

Product of Experts for Statistical Parametric Speech Synthesis

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

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).

Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification

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

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.

Face recognition based on separate lattice HMMs

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 2006 .

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

Yoshihiko Nankaku, Keiichi Tokuda, Keiichiro Oura, 2010 .

Applying Sparse KPCA for Feature Extraction in Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2005, IEICE Trans. Inf. Syst..

Sentence generation from keywords using N-gram for Spoken Dialog System

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2009 .

Image Recognition Based on Separable Lattice Hmms Using a Deep Neural Network for Output Probability Distributions

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

Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 2005, IEICE Trans. Inf. Syst..

Bayesian Context Clustering Using Cross Validation for Speech Recognition

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

Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition

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

Deterministic annealing based training algorithm for Bayesian speech recognition

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2009, INTERSPEECH.

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.

Singing voice synthesis based on convolutional neural networks pdf

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

A Bayesian Framework Using Multiple Model Structures for Speech Recognition

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2013, IEICE Trans. Inf. Syst..

Simultaneous conversion of duration and spectrum based on statistical models including time-sequence matching

Yoshihiko Nankaku, Keiichi Tokuda, Tomoki Toda, 2008, INTERSPEECH.

Temporal modeling in neural network based statistical parametric speech synthesis

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

Intensity- and location-normalized training for HMM-based visual speech recognition

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 1999, EUROSPEECH.

On the Use of Phonetic Information for Mapping from Articulatory Movements to Vocal Tract Spectrum

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

Speech Synthesis Based on Hidden Markov Models

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

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.

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

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, 2003 .

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).

A Bayesian Approach to Speaker Recognition Based on GMMs Using Multiple Model Structures

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2012, INTERSPEECH.

An excitation model for HMM-based speech synthesis based on residual modeling

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

GMM-Based Missing-Feature Reconstruction on Multi-Frame Windows

Yoshihiko Nankaku, Keiichi Tokuda, Ulpu Remes, 2011, INTERSPEECH.

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.

Face recognition based on separable lattice 2-D HMMS using variational bayesian method

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

Probabilistic feature mapping based on trajectory HMMs

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

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

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

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).

Speech recognition using voice-characteristic-dependent acoustic models

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

Acoustic modeling based on model structure annealing for speech recognition

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

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

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

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).

Speech recognition based on statistical models including multiple phonetic decision trees

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2011 .

Question Answering based on Automatic Utterance Clustering in Spoken Dialogue System

Yoshihiko Nankaku, Keiichi Tokuda, Akinobu Lee, 2007 .

Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis

Yoshihiko Nankaku, Keiichi Tokuda, Jianhua Tao, 2011, 2011 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.

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

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010 .

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis

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

Voice activity detection based on conditional random fields using multiple features

Yoshihiko Nankaku, Keiichi Tokuda, Akira Saito, 2010, 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.

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).