Yoshihiko Nankaku

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.

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.

Probabilistic feature mapping based on trajectory HMMs

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

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.

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

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

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis

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

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).

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.

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, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

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.

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 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.

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

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010 .

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).

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

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

Reducing computation on parallel decoding using frame-wise confidence scores

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

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.

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.

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 Deterministic Annealing-Based Training Algorithm For Statistical Machine Translation Models

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

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..

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..

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.

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).