Kei Hashimoto

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 47

Top Topics

Speech Synthesis

Image Recognition

Top Venues

Publications

Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model. ICASSP (2024)
Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model. CoRR (2024)
Miku Nishihara, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Singing voice synthesis based on frame-level sequence-to-sequence models considering vocal timing deviation. CoRR (2023)
Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura, Keiichiro Oura, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Embedding a Differentiable Mel-Cepstral Synthesis Filter to a Neural Speech Synthesis System. ICASSP (2023)
Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism. ICASSP (2023)
Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura, Keiichiro Oura, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Embedding a Differentiable Mel-cepstral Synthesis Filter to a Neural Speech Synthesis System. CoRR (2022)
Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism. CoRR (2022)
Takato Fujimoto, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Autoregressive Variational Autoencoder with a Hidden Semi-Markov Model-Based Structured Attention for Speech Synthesis. ICASSP (2022)
Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
PeriodNet: A Non-Autoregressive Raw Waveform Generative Model With a Structure Separating Periodic and Aperiodic Components. IEEE Access 9 (2021)
Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Periodnet: A Non-Autoregressive Waveform Generation Model with a Structure Separating Periodic and Aperiodic Components. ICASSP (2021)
Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System. CoRR (2021)
Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
PeriodNet: A non-autoregressive waveform generation model with a structure separating periodic and aperiodic components. CoRR (2021)
Takato Fujimoto, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Semi-Supervised Learning Based on Hierarchical Generative Models for End-to-End Speech Synthesis. ICASSP (2020)
Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis. INTERSPEECH (2020)
Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis. CoRR (2020)
Kazuhiro Nakamura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Fast and High-Quality Singing Voice Synthesis System Based on Convolutional Neural Networks. ICASSP (2020)
Kazuhiro Nakamura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Fast and High-Quality Singing Voice Synthesis System based on Convolutional Neural Networks. CoRR (2019)
Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Singing Voice Synthesis Based on Generative Adversarial Networks. ICASSP (2019)
Motoki Shimada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Low computational cost speech synthesis based on deep neural networks using hidden semi-Markov model structures. SSW (2019)
Takato Fujimoto, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Impacts of input linguistic feature representation on Japanese end-to-end speech synthesis. SSW (2019)
Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Singing voice synthesis based on convolutional neural networks. CoRR (2019)
Keiichiro Oura, Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Deep neural network based real-time speech vocoder with periodic and aperiodic inputs. SSW (2019)
Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Speaker-dependent Wavenet-based Delay-free Adpcm Speech Coding. ICASSP (2019)
Takato Fujimoto, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Speech Synthesis Using WaveNet Vocoder Based on Periodic/Aperiodic Decomposition. APSIPA (2018)
Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
WaveNet-Based Zero-Delay Lossless Speech Coding. SLT (2018)
Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Mel-Cepstrum-Based Quantization Noise Shaping Applied to Neural-Network-Based Speech Waveform Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 26 (7) (2018)
Takayuki Kasugai, Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Image Recognition Based on Convolutional Neural Networks Using Features Generated from Separable Lattice Hidden Markov Models. APSIPA (2018)
Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Statistical Voice Conversion Based on Wavenet. ICASSP (2018)
Takenori Yoshimura, Natsumi Koike, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition. APSIPA (2018)
Kento Nakao, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Speaker Adaptation for Speech Synthesis Based on Deep Neural Networks Using Hidden Semi-Markov Model Structures. APSIPA (2018)
Eiji Ichikawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Image Recognition Based on Separable Lattice Hmms Using a Deep Neural Network for Output Probability Distributions. ICASSP (2018)
Koki Senda, Yukiya Hono, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Singing Voice Conversion Using Posted Waveform Data on Music Social Media. APSIPA (2018)
Yukiya Hono, Shumma Murata, Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Recent Development of the DNN-based Singing Voice Synthesis System - Sinsy. APSIPA (2018)
Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Simultaneous Optimization of Multiple Tree-Based Factor Analyzed HMM for Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 25 (9) (2017)
Amelia Jane Gully, Takenori Yoshimura, Damian T. Murphy, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Articulatory Text-to-Speech Synthesis Using the Digital Waveguide Mesh Driven by a Deep Neural Network. INTERSPEECH (2017)
Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Image recognition based on discriminative models using features generated from separable lattice HMMS. ICASSP (2017)
Md. Khayrul Bashar, Kei Hashimoto, Mari Gotoh, Hiroshi Kori
Analyzing orientation patterns of human skin fibroblasts using image gradient information. EMBC (2017)
Masanari Nishimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Singing Voice Synthesis Based on Deep Neural Networks. INTERSPEECH (2016)
Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Trajectory training considering global variance for speech synthesis based on neural networks. ICASSP (2016)
Kei Hashimoto, Junichi Yamagishi, Isao Echizen
Privacy-preserving sound to degrade automatic speaker verification performance. ICASSP (2016)
Naoki Hosaka, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance. INTERSPEECH (2016)
Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models. IEICE Trans. Inf. Syst. (12) (2016)
Rasmus Dall, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Redefining the Linguistic Context Feature Set for HMM and DNN TTS Through Position and Parsing. INTERSPEECH (2016)
Keiichi Tokuda, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku
Temporal modeling in neural network based statistical parametric speech synthesis. SSW (2016)
Takenori Yoshimura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Simultaneous optimization of multiple tree structures for factor analyzed HMM-based speech synthesis. INTERSPEECH (2015)
Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
The effect of neural networks in statistical parametric speech synthesis. ICASSP (2015)
Kanako Shirota, Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis. ICASSP (2014)
Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Integration of Spectral Feature Extraction and Modeling for HMM-Based Speech Synthesis. IEICE Trans. Inf. Syst. (6) (2014)
Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech. INTERSPEECH (2014)
Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
A Bayesian Framework Using Multiple Model Structures for Speech Recognition. IEICE Trans. Inf. Syst. (4) (2013)
Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
Cross-lingual speaker adaptation based on factor analysis using bilingual speech data for HMM-based speech synthesis. SSW (2013)
Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Image recognition based on hidden Markov eigen-image models using variational Bayesian method. APSIPA (2013)
Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis. ICASSP (2013)
Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Separable lattice 2-D HMMS introducing state duration control for recognition of images with various variations. ICASSP (2013)
Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
A model structure integration based on a Bayesian framework for speech recognition. ICASSP (2012)
Takafumi Hattori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
A Bayesian Approach to Speaker Recognition Based on GMMs Using Multiple Model Structures. INTERSPEECH (2012)
Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Face recognition based on separable lattice 2-D HMMS using variational bayesian method. ICASSP (2012)
Kei Hashimoto, Junichi Yamagishi, William Byrne, Simon King, Keiichi Tokuda
Impacts of machine translation and speech synthesis on speech-to-speech translation. Speech Commun. 54 (7) (2012)
Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Multi-Speaker Modeling with Shared Prior Distributions and Model Structures for Bayesian Speech Synthesis. INTERSPEECH (2011)
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda
Bayesian Context Clustering Using Cross Validation for Speech Recognition. IEICE Trans. Inf. Syst. (3) (2011)
Kei Hashimoto, Junichi Yamagishi, William J. Byrne, Simon King, Keiichi Tokuda
An analysis of machine translation and speech synthesis in speech-to-speech translation system. ICASSP (2011)
Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Bayesian speech synthesis framework integrating training and synthesis processes. SSW (2010)
Pascual Martínez-Gómez, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Germán Sanchis-Trilles
A Deterministic Annealing-Based Training Algorithm For Statistical Machine Translation Models. EAMT (2010)
Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Deterministic annealing based training algorithm for Bayesian speech recognition. INTERSPEECH (2009)
Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
A Bayesian approach to Hidden Semi-Markov Model based speech synthesis. INTERSPEECH (2009)
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takashi Masuko, Keiichi Tokuda
A Bayesian approach to HMM-based speech synthesis. ICASSP (2009)
Kei Hashimoto, Hirohumi Yamamoto, Hideo Okuma, Eiichiro Sumita, Keiichi Tokuda
Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation. SSST@HLT-NAACL (2009)
Kei Hashimoto, Hirofumi Yamamoto, Hideo Okuma, Eiichiro Sumita, Keiichi Tokuda
A Reordering Model Using a Source-Side Parse-Tree for Statistical Machine Translation. IEICE Trans. Inf. Syst. (12) (2009)
Tatsuya Ito, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda
Speaker recognition based on variational Bayesian method. INTERSPEECH (2008)
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda
Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition. INTERSPEECH (2008)
Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda
Acoustic modeling based on model structure annealing for speech recognition. INTERSPEECH (2008)