Yoshihiko Nankaku

According to our database, Yoshihiko Nankaku authored at least 124 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model.

Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

Miku Nishihara, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

CoRR, 2023

Embedding a Differentiable Mel-Cepstral Synthesis Filter to a Neural Speech Synthesis System.

Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura, Keiichiro Oura, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

Kentaro Mitsui, Tianyu Zhao, Kei Sawada, Yukiya Hono, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Autoregressive Variational Autoencoder with a Hidden Semi-Markov Model-Based Structured Attention for Speech Synthesis.

Takato Fujimoto, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2022

Enhancing Social Telepresence on Text Communication Using Robot Avatar that Reflects User's Chatting States.

Yasutaka Nakamura, Seiichi Harata, Takuto Sakuma, Yoshihiro Tanaka, Yoshihiko Nankaku, Shohei Kato

Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

2021

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

Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

IEEE ACM Trans. Audio Speech Lang. Process., 2021

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

Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

IEEE Access, 2021

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

Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis.

Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

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

Kazuhiro Nakamura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Takato Fujimoto, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Singing voice synthesis based on convolutional neural networks.

Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

CoRR, 2019

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

Motoki Shimada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019

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

Keiichiro Oura, Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019

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

Takato Fujimoto, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019

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

Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2019

Singing Voice Synthesis Based on Generative Adversarial Networks.

Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

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

Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

IEEE ACM Trans. Audio Speech Lang. Process., 2018

WaveNet-Based Zero-Delay Lossless Speech Coding.

Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Statistical Voice Conversion Based on Wavenet.

Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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

Eiji Ichikawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The NITech text-to-speech system for the Blizzard Challenge 2018.

Kei Sawada, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2018, Hyderabad, India, September 8, 2018, 2018

Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition.

Takenori Yoshimura, Natsumi Koike, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Singing Voice Conversion Using Posted Waveform Data on Music Social Media.

Koki Senda, Yukiya Hono, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

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

Kento Nakao, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

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

Takayuki Kasugai, Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

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

Yukiya Hono, Shumma Murata, Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Speech Synthesis Using WaveNet Vocoder Based on Periodic/Aperiodic Decomposition.

Takato Fujimoto, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

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

Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

IEEE ACM Trans. Audio Speech Lang. Process., 2017

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

Amelia Jane Gully, Takenori Yoshimura, Damian T. Murphy, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

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

Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

User Generated Dialogue Systems: uDialogue.

Keiichi Tokuda, Akinobu Lee, Yoshihiko Nankaku, Keiichiro Oura, Kei Hashimoto, Daisuke Yamamoto, Ichi Takumi, Takahiro Uchiya, Shuhei Tsutsumi, Steve Renals, Junichi Yamagishi

Proceedings of the Human-Harmonized Information Technology, Volume 2, 2017

2016

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

Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2016

Temporal modeling in neural network based statistical parametric speech synthesis.

Keiichi Tokuda, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku

Proceedings of the 9th ISCA Speech Synthesis Workshop, 2016

Singing Voice Synthesis Based on Deep Neural Networks.

Masanari Nishimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

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

Naoki Hosaka, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

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

Rasmus Dall, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

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

Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

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

Takenori Yoshimura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Prosodically-enhanced recurrent neural network language models.

Siva Reddy Gangireddy, Steve Renals, Yoshihiko Nankaku, Akinobu Lee

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

The effect of neural networks in statistical parametric speech synthesis.

Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Contextual Additive Structure for HMM-Based Speech Synthesis.

Shinji Takaki, Yoshihiko Nankaku, Keiichi Tokuda

IEEE J. Sel. Top. Signal Process., 2014

Image Recognition Based on Separable Lattice Trajectory 2-D HMMs.

Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2014

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

Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2014

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

Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

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

Kanako Shirota, Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2014

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

Kazuhiro Nakamura, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Speech Synthesis Based on Hidden Markov Models.

Keiichi Tokuda, Yoshihiko Nankaku, Tomoki Toda, Heiga Zen, Junichi Yamagishi, Keiichiro Oura

Proc. IEEE, 2013

A Bayesian Framework Using Multiple Model Structures for Speech Recognition.

Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2013

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

Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Eighth ISCA Tutorial and Research Workshop on Speech Synthesis, 2013

Contextual partial additive structure for HMM-based speech synthesis.

Shinji Takaki, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2013

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

Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2013

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

Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2013

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

Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012

Product of Experts for Statistical Parametric Speech Synthesis.

Heiga Zen, Mark J. F. Gales, Yoshihiko Nankaku, Keiichi Tokuda

IEEE Trans. Speech Audio Process., 2012

An Extension of Separable Lattice 2-D HMMs for Rotational Data Variations.

Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2012

Cross-lingual Speaker Adaptation for HMM-based Speech Synthesis based on Perceptual Characteristics and Speaker Interpolation.

Viviane de Franca Oliveira, Sayaka Shiota, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

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

Takafumi Hattori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

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

Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

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

Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Pitch adaptive training for hmm-based singing voice synthesis.

Keiichiro Oura, Ayami Mase, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Face recognition based on extended separable lattice 2-D HMMS.

Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Continuous Stochastic Feature Mapping Based on Trajectory HMMs.

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda

IEEE Trans. Speech Audio Process., 2011

Bayesian Context Clustering Using Cross Validation for Speech Recognition.

Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2011

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

Ulpu Remes, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

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

Lei Li, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

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

Naoaki Ito, Yoshihiko Nankaku, Akinobu Lee

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

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

Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

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

Ling-Hui Chen, Yoshihiko Nankaku, Heiga Zen, Keiichi Tokuda, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

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

Shinji Takaki, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2011

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

Shifeng Pan, Yoshihiko Nankaku, Keiichi Tokuda, Jianhua Tao

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

A Covariance-Tying Technique for HMM-Based Speech Synthesis.

Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2010

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

Shinji Takaki, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010

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

Keiichiro Oura, Ayami Mase, Tomohiko Yamada, Satoru Muto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010

Bayesian speech synthesis framework integrating training and synthesis processes.

Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010

Voice activity detection based on conditional random fields using multiple features.

Akira Saito, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

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

Ayami Mase, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Speaker adaptation based on nonlinear spectral transform for speech recognition.

Toyohiro Hayashi, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Statistical parametric speech synthesis based on product of experts.

Heiga Zen, Mark J. F. Gales, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2010

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

Yoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2010

Factor analyzed voice models for HMM-based speech synthesis.

Kyosuke Kazumi, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2010

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

Pascual Martínez-Gómez, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Germán Sanchis-Trilles

Proceedings of the 14th Annual conference of the European Association for Machine Translation, 2010

2009

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

Yi-Jian Wu, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Deterministic annealing based training algorithm for Bayesian speech recognition.

Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

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

Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

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

Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Stereo-based stochastic noise compensation based on trajectory GMMS.

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2009

Voice conversion based on simultaneous modelling of spectrum and F0.

Kaori Yutani, Yosuke Uto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2009

A Bayesian approach to HMM-based speech synthesis.

Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takashi Masuko, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

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

Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2008

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

Keiichiro Oura, Yoshihiko Nankaku, Tomoki Toda, Keiichi Tokuda, Ranniery Maia, Shinsuke Sakai, Satoshi Nakamura

Proceedings of the 6th International Symposium on Chinese Spoken Language Processing, 2008

Probabilistic feature mapping based on trajectory HMMs.

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

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

Kaori Yutani, Yosuke Uto, Yoshihiko Nankaku, Tomoki Toda, Keiichi Tokuda

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

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

Yoshitaka Yoshimi, Ryota Kakitsuba, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Acoustic modeling based on model structure annealing for speech recognition.

Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Speaker recognition based on variational Bayesian method.

Tatsuya Ito, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

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

Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

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

Yoshihiko Nankaku, Kazuhiro Nakamura, Heiga Zen, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Spectral conversion based on statistical models including time-sequence matching.

Yoshihiko Nankaku, Kenichi Nakamura, Tomoki Toda, Keiichi Tokuda

Proceedings of the Sixth ISCA Workshop on Speech Synthesis, 2007

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

Ranniery Maia, Tomoki Toda, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Sixth ISCA Workshop on Speech Synthesis, 2007

Model-space MLLR for trajectory HMMs.

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

A trainable excitation model for HMM-based speech synthesis.

Ranniery Maia, Tomoki Toda, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Face Recognition using Hidden Markov Eigenface Models.

Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Speaker adaptation of trajectory HMMs using feature-space MLLR.

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Voice conversion based on mixtures of factor analyzers.

Yosuke Uto, Yoshihiko Nankaku, Tomoki Toda, Akinobu Lee, Keiichi Tokuda

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

An HMM-based singing voice synthesis system.

Keijiro Saino, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Reducing computation on parallel decoding using frame-wise confidence scores.

Tomohiro Hakamata, Akinobu Lee, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler.

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

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

Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

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

Kenichi Nakamura, Tomoki Toda, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Face Recognition Based on Separable Lattice HMMS.

Daisuke Kurata, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Zoubin Ghahramani

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification.

Hiroyoshi Yamamoto, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura

IEICE Trans. Inf. Syst., 2005

Continuous Speech Recognition Based on General Factor Dependent Acoustic Models.

Hiroyuki Suzuki, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura

IEICE Trans. Inf. Syst., 2005

Applying Sparse KPCA for Feature Extraction in Speech Recognition.

Amaro A. de Lima, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Fernando Gil Resende

IEICE Trans. Inf. Syst., 2005

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

Yohei Itaya, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura

IEICE Trans. Inf. Syst., 2005

Sparse KPCA for Feature Extraction in Speech Recognition.

Amaro A. de Lima, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Fernando Gil Resende

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

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

Amaro A. de Lima, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura

IEICE Trans. Inf. Syst., 2004

Deterministic annealing EM algorithm in parameter estimation for acoustic model.

Yohei Itaya, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

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

Hiroyoshi Yamamoto, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Speech recognition using voice-characteristic-dependent acoustic models.

Hiroyuki Suzuki, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2000

Normalized Training for HMM-Based Visual Speech Recognition.

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Takao Kobayashi

Proceedings of the 2000 International Conference on Image Processing, 2000

1999

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

Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999