Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition. - Kei Hashimoto; Heiga Zen; Yoshihiko Nankaku; Akinobu Lee; Keiichi Tokuda (INTERSPEECH, 2008)

Speaker recognition based on variational Bayesian method. - Tatsuya Ito; Kei Hashimoto; Yoshihiko Nankaku; Akinobu Lee; Keiichi Tokuda (INTERSPEECH, 2008)

Acoustic modeling based on model structure annealing for speech recognition. - Sayaka Shiota; Kei Hashimoto; Heiga Zen; Yoshihiko Nankaku; Akinobu Lee; Keiichi Tokuda (INTERSPEECH, 2008)

A Bayesian approach to HMM-based speech synthesis. - Kei Hashimoto; Heiga Zen; Yoshihiko Nankaku; Takashi Masuko; Keiichi Tokuda (ICASSP, 2009)

A Bayesian approach to Hidden Semi-Markov Model based speech synthesis. - Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 2009)

Deterministic annealing based training algorithm for Bayesian speech recognition. - Sayaka Shiota; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 2009)

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation. - Kei Hashimoto; Hirohumi Yamamoto; Hideo Okuma; Eiichiro Sumita; Keiichi Tokuda (SSST@HLT-NAACL, 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)

Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2010. - Keiichiro Oura; Kei Hashimoto; Sayaka Shiota; Keiichi Tokuda (Blizzard Challenge, 2010)

A Deterministic Annealing-Based Training Algorithm For Statistical Machine Translation Models. - Pascual Martínez-Gómez; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda; Germán Sanchis-Trilles (EAMT, 2010)

Bayesian speech synthesis framework integrating training and synthesis processes. - Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (SSW, 2010)

Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2011. - Kei Hashimoto; Shinji Takaki; Keiichiro Oura; Keiichi Tokuda (Blizzard Challenge, 2011)

An analysis of machine translation and speech synthesis in speech-to-speech translation system. - Kei Hashimoto; Junichi Yamagishi; William J. Byrne; Simon King 001; Keiichi Tokuda (ICASSP, 2011)

Multi-Speaker Modeling with Shared Prior Distributions and Model Structures for Bayesian Speech Synthesis. - Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 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)

Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2012. - Shinji Takaki; Kei Sawada; Kei Hashimoto; Keiichiro Oura; Keiichi Tokuda (Blizzard Challenge, 2012)

Face recognition based on separable lattice 2-D HMMS using variational bayesian method. - Kei Sawada; Akira Tamamori; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2012)

A model structure integration based on a Bayesian framework for speech recognition. - Sayaka Shiota; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2012)

A Bayesian Approach to Speaker Recognition Based on GMMs Using Multiple Model Structures. - Takafumi Hattori; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 2012)

Impacts of machine translation and speech synthesis on speech-to-speech translation. - Kei Hashimoto; Junichi Yamagishi; William Byrne; Simon King 001; Keiichi Tokuda (Speech Commun., 2012)

Image recognition based on hidden Markov eigen-image models using variational Bayesian method. - Kei Sawada; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (APSIPA, 2013)

Overview of NITECH HMM-based speech synthesis system for Blizzard Challenge 2013. - Shinji Takaki; Kei Sawada; Kei Hashimoto; Keiichiro Oura; Keiichi Tokuda (Blizzard Challenge, 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 (ICASSP, 2013)

Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis. - Kazuhiro Nakamura; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 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 (SSW, 2013)

A Bayesian Framework Using Multiple Model Structures for Speech Recognition. - Sayaka Shiota; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (IEICE Trans. Inf. Syst., 2013)

Overview of NITECH HMM-based text-to-speech system for Blizzard Challenge 2014. - Kei Sawada; Shinji Takaki; Kei Hashimoto; Keiichiro Oura; Keiichi Tokuda (Blizzard Challenge, 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 (ICASSP, 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 (INTERSPEECH, 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)

The NITECH HMM-based text-to-speech system for the Blizzard Challenge 2015. - Kei Sawada; Kei Hashimoto; Keiichiro Oura; Keiichi Tokuda (Blizzard Challenge, 2015)

The effect of neural networks in statistical parametric speech synthesis. - Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2015)

Simultaneous optimization of multiple tree structures for factor analyzed HMM-based speech synthesis. - Takenori Yoshimura; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 2015)

The NITech text-to-speech system for the Blizzard Challenge 2016. - Kei Sawada; Chiaki Asai; Kei Hashimoto; Keiichiro Oura; Keiichi Tokuda (Blizzard Challenge, 2016)

Trajectory training considering global variance for speech synthesis based on neural networks. - Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2016)

Privacy-preserving sound to degrade automatic speaker verification performance. - Kei Hashimoto; Junichi Yamagishi; Isao Echizen (ICASSP, 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 (INTERSPEECH, 2016)

Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance. - Naoki Hosaka; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 2016)

Singing Voice Synthesis Based on Deep Neural Networks. - Masanari Nishimura; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 2016)

Temporal modeling in neural network based statistical parametric speech synthesis. - Keiichi Tokuda; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku (SSW, 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)

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 (Human-Harmonized Information Technology (2), 2017)

The NITech text-to-speech system for the Blizzard Challenge 2017. - Kei Sawada; Kei Hashimoto; Keiichiro Oura; Keiichi Tokuda (Blizzard Challenge, 2017)

Analyzing orientation patterns of human skin fibroblasts using image gradient information. - Md. Khayrul Bashar; Kei Hashimoto; Mari Gotoh; Hiroshi Kori (EMBC, 2017)

Image recognition based on discriminative models using features generated from separable lattice HMMS. - Yoshinari Tsuzuki; Kei Sawada; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 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 (INTERSPEECH, 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)

Speech Synthesis Using WaveNet Vocoder Based on Periodic/Aperiodic Decomposition. - Takato Fujimoto; Takenori Yoshimura; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (APSIPA, 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 (APSIPA, 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 (APSIPA, 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 (APSIPA, 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 (APSIPA, 2018)

Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition. - Takenori Yoshimura; Natsumi Koike; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (APSIPA, 2018)

The NITech text-to-speech system for the Blizzard Challenge 2018. - Kei Sawada; Takenori Yoshimura; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (Blizzard Challenge, 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 (ICASSP, 2018)

Statistical Voice Conversion Based on Wavenet. - Jumpei Niwa; Takenori Yoshimura; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2018)

WaveNet-Based Zero-Delay Lossless Speech Coding. - Takenori Yoshimura; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (SLT, 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)

Singing Voice Synthesis Based on Generative Adversarial Networks. - Yukiya Hono; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2019)

Speaker-dependent Wavenet-based Delay-free Adpcm Speech Coding. - Takenori Yoshimura; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2019)

Impacts of input linguistic feature representation on Japanese end-to-end speech synthesis. - Takato Fujimoto; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (SSW, 2019)

Deep neural network based real-time speech vocoder with periodic and aperiodic inputs. - Keiichiro Oura; Kazuhiro Nakamura; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (SSW, 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 (SSW, 2019)

Singing voice synthesis based on convolutional neural networks. - Kazuhiro Nakamura; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (CoRR, 2019)

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 (ICASSP, 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 (ICASSP, 2020)

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis. - Yukiya Hono; Kazuna Tsuboi; Kei Sawada; Kei Hashimoto; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (INTERSPEECH, 2020)

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 (ICASSP, 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)

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)

Autoregressive Variational Autoencoder with a Hidden Semi-Markov Model-Based Structured Attention for Speech Synthesis. - Takato Fujimoto; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2022)

Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism. - Yukiya Hono; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 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 (ICASSP, 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)

PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model. - Yukiya Hono; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 2024)

V2Coder: A Non-Autoregressive Vocoder Based on Hierarchical Variational Autoencoders. - Takato Fujimoto; Kei Hashimoto; Yoshihiko Nankaku; Keiichi Tokuda (IEEE Access, 2025)