Kei Hashimoto

发表

Privacy-preserving sound to degrade automatic speaker verification performance

Junichi Yamagishi, Isao Echizen, Kei Hashimoto, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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.

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).

Singing Voice Synthesis Based on Deep Neural Networks

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

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

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

Impacts of machine translation and speech synthesis on speech-to-speech translation

Keiichi Tokuda, William J. Byrne, Simon King, 2012, Speech Commun..

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.

Bayesian speech synthesis framework integrating training and synthesis processes

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

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.

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).

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.

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..

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

Kei Hashimoto, Sayaka Shiota, Keiichiro Oura, 2009 .

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

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

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 .

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).

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

Keiichi Tokuda, Kei Hashimoto, Kei Sawada, 2016 .

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.

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).

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

Yoshihiko Nankaku, Keiichi Tokuda, Kei Hashimoto, 2018 .

Singing Voice Synthesis Based on Generative Adversarial Networks

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

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.

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).

Bayesian Context Clustering Using Cross Validation for Speech Recognition

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

Analyzing orientation patterns of human skin fibroblasts using image gradient information

Md. Khayrul Bashar, Kei Hashimoto, Hiroshi Kori, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

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

A Reordering Model Using a Source-Side Parse-Tree for Statistical Machine Translation

Keiichi Tokuda, Eiichiro Sumita, Hirofumi Yamamoto, 2009, IEICE Trans. Inf. Syst..

Deterministic annealing based training algorithm for Bayesian speech recognition

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

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..

Temporal modeling in neural network based statistical parametric speech synthesis

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

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.

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

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

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).

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).

Acoustic modeling based on model structure annealing for speech recognition

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

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

Keiichi Tokuda, Eiichiro Sumita, Kei Hashimoto, 2009, SSST@HLT-NAACL.

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 .

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).

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

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

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis

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

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).