Kei Hashimoto

According to our database, Kei Hashimoto authored at least 75 papers between 2008 and 2024.

Collaborative distances:

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

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

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

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

Analyzing orientation patterns of human skin fibroblasts using image gradient information.

Md. Khayrul Bashar, Kei Hashimoto, Mari Gotoh, Hiroshi Kori

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

The NITech text-to-speech system for the Blizzard Challenge 2017.

Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2017, Stockholm, Sweden, August 25, 2017, 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

Privacy-preserving sound to degrade automatic speaker verification performance.

Kei Hashimoto, Junichi Yamagishi, Isao Echizen

Proceedings of the 2016 IEEE International Conference on Acoustics, 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

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

Kei Sawada, Chiaki Asai, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2016, Cuppertino, CA, USA, September 16, 2016, 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

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

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

Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2015, 2015

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

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

Kei Sawada, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2014, Singapore, Singapore, September 19, 2014, 2014

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

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

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

Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2013, 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

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

Kei Hashimoto, Junichi Yamagishi, William Byrne, Simon King, Keiichi Tokuda

Speech Commun., 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

Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2012.

Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2012, Portland, OR, USA, September 14, 2012, 2012

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

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

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

Kei Hashimoto, Junichi Yamagishi, William J. Byrne, Simon King, Keiichi Tokuda

Proceedings of the IEEE International Conference on Acoustics, 2011

Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2011.

Kei Hashimoto, Shinji Takaki, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2011, Turin, Italy, September 2, 2011, 2011

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

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

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

Keiichiro Oura, Kei Hashimoto, Sayaka Shiota, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2010, Kansai Science City, Japan, September 25, 2010, 2010

2009

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

Kei Hashimoto, Hirofumi Yamamoto, Hideo Okuma, Eiichiro Sumita, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2009

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

Kei Hashimoto, Hirohumi Yamamoto, Hideo Okuma, Eiichiro Sumita, Keiichi Tokuda

Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation, 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

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

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

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