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ORCIDKei Hashimoto
- > Home > Persons > Kei Hashimoto
Publications
- 2023
[c60]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: 1-5- 2022
- [i7]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 abs/2211.11222 (2022) - 2021
- [j10]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: 137599-137612 (2021) - [j9]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: 2803-2815 (2021) - [c58]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: 6049-6053 - [i5]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 abs/2102.07786 (2021) - [i4]Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System. CoRR abs/2108.02776 (2021) - 2020
- [c57]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: 7239-7243 - [c56]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: 7644-7648 - [c55]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: 3441-3445 - [i3]Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis. CoRR abs/2009.08474 (2020) - 2019
- [c54]Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Synthesis Based on Generative Adversarial Networks. ICASSP 2019: 6955-6959 - [c53]Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Speaker-dependent Wavenet-based Delay-free Adpcm Speech Coding. ICASSP 2019: 7145-7149 - [c52]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: 13-18 - [c51]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: 166-171 - [c50]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: 177-182 - [i2]Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Singing voice synthesis based on convolutional neural networks. CoRR abs/1904.06868 (2019) - [i1]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 abs/1910.11690 (2019) - 2018
- [j8]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): 1173-1180 (2018) - [c49]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: 324-328 - [c48]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: 638-643 - [c47]Takato Fujimoto, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Speech Synthesis Using WaveNet Vocoder Based on Periodic/Aperiodic Decomposition. APSIPA 2018: 644-648 - [c46]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: 1003-1009 - [c45]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: 1742-1746 - [c44]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: 1913-1917 - [c43]Kei Sawada, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
The NITech text-to-speech system for the Blizzard Challenge 2018. Blizzard Challenge 2018 - [c41]Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Statistical Voice Conversion Based on Wavenet. ICASSP 2018: 5289-5293 - [c40]Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
WaveNet-Based Zero-Delay Lossless Speech Coding. SLT 2018: 153-158 - 2017
- [j7]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): 1836-1845 (2017) - [c39]Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
The NITech text-to-speech system for the Blizzard Challenge 2017. Blizzard Challenge 2017 - [p1]Keiichi Tokuda, Akinobu Lee, Yoshihiko Nankaku, Keiichiro Oura, Kei Hashimoto, Daisuke Yamamoto, Ichi Takumi, Takahiro Uchiya, Shuhei Tsutsumi, Steve Renals, Junichi Yamagishi:
User Generated Dialogue Systems: uDialogue. Human-Harmonized Information Technology (2) 2017: 77-114 - 2016
- [c35]Kei Sawada, Chiaki Asai, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
The NITech text-to-speech system for the Blizzard Challenge 2016. Blizzard Challenge 2016 - [c33]Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Trajectory training considering global variance for speech synthesis based on neural networks. ICASSP 2016: 5600-5604 - [c32]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: 307-311 - [c31]Masanari Nishimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Synthesis Based on Deep Neural Networks. INTERSPEECH 2016: 2478-2482 - [c30]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: 2851-2855 - [c29]Keiichi Tokuda, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku:
Temporal modeling in neural network based statistical parametric speech synthesis. SSW 2016: 106-111 - 2015
- [c28]Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
The NITECH HMM-based text-to-speech system for the Blizzard Challenge 2015. Blizzard Challenge 2015 - [c27]Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
The effect of neural networks in statistical parametric speech synthesis. ICASSP 2015: 4455-4459 - 2014
- [c25]Kei Sawada, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
Overview of NITECH HMM-based text-to-speech system for Blizzard Challenge 2014. Blizzard Challenge 2014 - [c24]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: 2559-2563 - [c23]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: 2494-2498 - 2013
- [c21]Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
Overview of NITECH HMM-based speech synthesis system for Blizzard Challenge 2013. Blizzard Challenge 2013 - [c18]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: 297-302 - 2012
- [c17]Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2012. Blizzard Challenge 2012 - 2011
- [c13]Kei Hashimoto, Shinji Takaki, Keiichiro Oura, Keiichi Tokuda:
Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2011. Blizzard Challenge 2011 - 2010
- [c10]Keiichiro Oura, Kei Hashimoto, Sayaka Shiota, Keiichi Tokuda:
Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2010. Blizzard Challenge 2010
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