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ORCIDYoshihiko Nankaku
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2020 – today
- 2024
[c103]Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model. ICASSP 2024: 12782-12786- [i10]Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model. CoRR abs/2402.14692 (2024) - 2023
- [c102]Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism. ICASSP 2023: 1-5 - [c101]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 - [i9]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 abs/2301.02262 (2023) - 2022
- [c100]Yasutaka Nakamura, Seiichi Harata, Takuto Sakuma, Yoshihiro Tanaka
, Yoshihiko Nankaku, Shohei Kato:
Enhancing Social Telepresence on Text Communication Using Robot Avatar that Reflects User's Chatting States. GCCE 2022: 707-709 - [c99]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: 7462-7466 - [c98]Kentaro Mitsui, Tianyu Zhao, Kei Sawada, Yukiya Hono, Yoshihiko Nankaku, Keiichi Tokuda:
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue. INTERSPEECH 2022: 2328-2332 - [i8]Kentaro Mitsui, Tianyu Zhao, Kei Sawada, Yukiya Hono, Yoshihiko Nankaku, Keiichi Tokuda:
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue. CoRR abs/2206.12040 (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) - [i6]Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism. CoRR abs/2212.13703 (2022) - 2021
- [j21]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) - [j20]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) - [c97]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
- [c96]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 - [c95]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 - [c94]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)
2010 – 2019
- 2019
- [c93]Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Synthesis Based on Generative Adversarial Networks. ICASSP 2019: 6955-6959 - [c92]Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Speaker-dependent Wavenet-based Delay-free Adpcm Speech Coding. ICASSP 2019: 7145-7149 - [c91]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 - [c90]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 - [c89]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
- [j19]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) - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [c81]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: 3021-3025 - [c80]Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Statistical Voice Conversion Based on Wavenet. ICASSP 2018: 5289-5293 - [c79]Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
WaveNet-Based Zero-Delay Lossless Speech Coding. SLT 2018: 153-158 - 2017
- [j18]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) - [c78]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: 2607-2611 - [c77]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: 234-238 - [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
- [j17]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. 99-D(12): 3119-3131 (2016) - [c76]Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Trajectory training considering global variance for speech synthesis based on neural networks. ICASSP 2016: 5600-5604 - [c75]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 - [c74]Masanari Nishimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Synthesis Based on Deep Neural Networks. INTERSPEECH 2016: 2478-2482 - [c73]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 - [c72]Keiichi Tokuda, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku:
Temporal modeling in neural network based statistical parametric speech synthesis. SSW 2016: 106-111 - 2015
- [c71]Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
The effect of neural networks in statistical parametric speech synthesis. ICASSP 2015: 4455-4459 - [c70]Takenori Yoshimura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Simultaneous optimization of multiple tree structures for factor analyzed HMM-based speech synthesis. INTERSPEECH 2015: 1196-1200 - [c69]Siva Reddy Gangireddy, Steve Renals, Yoshihiko Nankaku, Akinobu Lee:
Prosodically-enhanced recurrent neural network language models. INTERSPEECH 2015: 2390-2394 - 2014
- [j16]Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Integration of Spectral Feature Extraction and Modeling for HMM-Based Speech Synthesis. IEICE Trans. Inf. Syst. 97-D(6): 1438-1448 (2014) - [j15]Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda:
Image Recognition Based on Separable Lattice Trajectory 2-D HMMs. IEICE Trans. Inf. Syst. 97-D(7): 1842-1854 (2014) - [j14]Shinji Takaki, Yoshihiko Nankaku, Keiichi Tokuda:
Contextual Additive Structure for HMM-Based Speech Synthesis. IEEE J. Sel. Top. Signal Process. 8(2): 229-238 (2014) - [c68]Kazuhiro Nakamura, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
HMM-Based singing voice synthesis and its application to Japanese and English. ICASSP 2014: 265-269 - [c67]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 - [c66]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
- [j13]Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
A Bayesian Framework Using Multiple Model Structures for Speech Recognition. IEICE Trans. Inf. Syst. 96-D(4): 939-948 (2013) - [j12]Keiichi Tokuda, Yoshihiko Nankaku, Tomoki Toda, Heiga Zen, Junichi Yamagishi, Keiichiro Oura:
Speech Synthesis Based on Hidden Markov Models. Proc. IEEE 101(5): 1234-1252 (2013) - [c65]Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Image recognition based on hidden Markov eigen-image models using variational Bayesian method. APSIPA 2013: 1-8 - [c64]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: 3203-3207 - [c63]Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda:
Image recognition based on separable lattice trajectory 2-D HMMS. ICASSP 2013: 3467-3471 - [c62]Shinji Takaki, Yoshihiko Nankaku, Keiichi Tokuda:
Contextual partial additive structure for HMM-based speech synthesis. ICASSP 2013: 7878-7882 - [c61]Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis. ICASSP 2013: 7883-7887 - [c60]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
- [j11]Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda:
An Extension of Separable Lattice 2-D HMMs for Rotational Data Variations. IEICE Trans. Inf. Syst. 95-D(8): 2074-2083 (2012) - [j10]Heiga Zen, Mark J. F. Gales, Yoshihiko Nankaku, Keiichi Tokuda:
Product of Experts for Statistical Parametric Speech Synthesis. IEEE Trans. Speech Audio Process. 20(3): 794-805 (2012) - [c59]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: 2205-2208 - [c58]Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda:
Face recognition based on extended separable lattice 2-D HMMS. ICASSP 2012: 2209-2212 - [c57]Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
A model structure integration based on a Bayesian framework for speech recognition. ICASSP 2012: 4813-4816 - [c56]Keiichiro Oura, Ayami Mase, Yoshihiko Nankaku, Keiichi Tokuda:
Pitch adaptive training for hmm-based singing voice synthesis. ICASSP 2012: 5377-5380 - [c55]Viviane de Franca Oliveira, Sayaka Shiota, Yoshihiko Nankaku, Keiichi Tokuda:
Cross-lingual Speaker Adaptation for HMM-based Speech Synthesis based on Perceptual Characteristics and Speaker Interpolation. INTERSPEECH 2012: 983-986 - [c54]Takafumi Hattori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
A Bayesian Approach to Speaker Recognition Based on GMMs Using Multiple Model Structures. INTERSPEECH 2012: 1107-1110 - 2011
- [j9]Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Bayesian Context Clustering Using Cross Validation for Speech Recognition. IEICE Trans. Inf. Syst. 94-D(3): 668-678 (2011) - [j8]Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda:
Continuous Stochastic Feature Mapping Based on Trajectory HMMs. IEEE Trans. Speech Audio Process. 19(2): 417-430 (2011) - [c53]Shinji Takaki, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
An optimization algorithm of independent mean and variance parameter tying structures for HMM-based speech synthesis. ICASSP 2011: 4700-4703 - [c52]Shifeng Pan, Yoshihiko Nankaku, Keiichi Tokuda, Jianhua Tao:
Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis. ICASSP 2011: 4716-4719 - [c51]Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Multi-Speaker Modeling with Shared Prior Distributions and Model Structures for Bayesian Speech Synthesis. INTERSPEECH 2011: 113-116 - [c50]Lei Li, Yoshihiko Nankaku, Keiichi Tokuda:
A Bayesian Approach to Voice Conversion Based on GMMs Using Multiple Model Structures. INTERSPEECH 2011: 661-664 - [c49]Ulpu Remes, Yoshihiko Nankaku, Keiichi Tokuda:
GMM-Based Missing-Feature Reconstruction on Multi-Frame Windows. INTERSPEECH 2011: 1665-1668 - [c48]Ling-Hui Chen, Yoshihiko Nankaku, Heiga Zen, Keiichi Tokuda, Zhen-Hua Ling, Li-Rong Dai:
Estimation of Window Coefficients for Dynamic Feature Extraction for HMM-Based Speech Synthesis. INTERSPEECH 2011: 1801-1804 - [c47]Naoaki Ito, Yoshihiko Nankaku, Akinobu Lee:
Evaluation of Tree-Trellis Based Decoding in Over-Million LVCSR. INTERSPEECH 2011: 1937-1940 - 2010
- [j7]Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
A Covariance-Tying Technique for HMM-Based Speech Synthesis. IEICE Trans. Inf. Syst. 93-D(3): 595-601 (2010) - [c46]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 - [c45]Yoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda:
Face recognition based on separable lattice 2-D HMM with state duration modeling. ICASSP 2010: 2162-2165 - [c44]Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda:
An extension of Separable Lattice 2-D HMMS for rotational data variations. ICASSP 2010: 2206-2209 - [c43]Kyosuke Kazumi, Yoshihiko Nankaku, Keiichi Tokuda:
Factor analyzed voice models for HMM-based speech synthesis. ICASSP 2010: 4234-4237 - [c42]Heiga Zen, Mark J. F. Gales, Yoshihiko Nankaku, Keiichi Tokuda:
Statistical parametric speech synthesis based on product of experts. ICASSP 2010: 4242-4245 - [c41]Toyohiro Hayashi, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Speaker adaptation based on nonlinear spectral transform for speech recognition. INTERSPEECH 2010: 542-545 - [c40]Ayami Mase, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
HMM-based singing voice synthesis system using pitch-shifted pseudo training data. INTERSPEECH 2010: 845-848 - [c39]Akira Saito, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Voice activity detection based on conditional random fields using multiple features. INTERSPEECH 2010: 2086-2089 - [c38]Shinji Takaki, Yoshihiko Nankaku, Keiichi Tokuda:
Spectral modeling with contextual additive structure for HMM-based speech synthesis. SSW 2010: 100-105 - [c37]Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Bayesian speech synthesis framework integrating training and synthesis processes. SSW 2010: 106-111 - [c36]Keiichiro Oura, Ayami Mase, Tomohiko Yamada, Satoru Muto, Yoshihiko Nankaku, Keiichi Tokuda:
Recent development of the HMM-based singing voice synthesis system - Sinsy. SSW 2010: 211-216
2000 – 2009
- 2009
- [c35]Kaori Yutani, Yosuke Uto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Voice conversion based on simultaneous modelling of spectrum and F0. ICASSP 2009: 3897-3900 - [c34]Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takashi Masuko, Keiichi Tokuda:
A Bayesian approach to HMM-based speech synthesis. ICASSP 2009: 4029-4032 - [c33]Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda:
Stereo-based stochastic noise compensation based on trajectory GMMS. ICASSP 2009: 4577-4580 - [c32]Yi-Jian Wu, Yoshihiko Nankaku, Keiichi Tokuda:
State mapping based method for cross-lingual speaker adaptation in HMM-based speech synthesis. INTERSPEECH 2009: 528-531 - [c31]Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Deterministic annealing based training algorithm for Bayesian speech recognition. INTERSPEECH 2009: 680-683 - [c30]Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
A Bayesian approach to Hidden Semi-Markov Model based speech synthesis. INTERSPEECH 2009: 1751-1754 - [c29]Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Tying covariance matrices to reduce the footprint of HMM-based speech synthesis systems. INTERSPEECH 2009: 1759-1762 - 2008
- [j6]Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System. IEICE Trans. Inf. Syst. 91-D(11): 2693-2700 (2008) - [c28]Yoshihiko Nankaku, Kazuhiro Nakamura, Heiga Zen, Keiichi Tokuda:
Acoustic modeling with contextual additive structure for HMM-based speech recognition. ICASSP 2008: 4469-4472 - [c27]Yoshitaka Yoshimi, Ryota Kakitsuba, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Probabilistic answer selection based on conditional random fields for spoken dialog system. INTERSPEECH 2008: 215-218 - [c26]Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Acoustic modeling based on model structure annealing for speech recognition. INTERSPEECH 2008: 932-935 - [c25]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: 936-939 - [c24]Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda:
Probabilistic feature mapping based on trajectory HMMs. INTERSPEECH 2008: 1068-1071 - [c23]Kaori Yutani, Yosuke Uto, Yoshihiko Nankaku, Tomoki Toda, Keiichi Tokuda:
Simultaneous conversion of duration and spectrum based on statistical models including time-sequence matching. INTERSPEECH 2008: 1072-1075 - [c22]Tatsuya Ito, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Speaker recognition based on variational Bayesian method. INTERSPEECH 2008: 1417-1420 - [c21]Keiichiro Oura, Yoshihiko Nankaku, Tomoki Toda, Keiichi Tokuda, Ranniery Maia, Shinsuke Sakai, Satoshi Nakamura:
Simultaneous Acoustic, Prosodic, and Phrasing Model Training for TTs Conversion Systems. ISCSLP 2008: 1-4 - 2007
- [c20]Yoshihiko Nankaku, Keiichi Tokuda:
Face Recognition using Hidden Markov Eigenface Models. ICASSP (2) 2007: 469-472 - [c19]Ranniery Maia, Tomoki Toda, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda:
A trainable excitation model for HMM-based speech synthesis. INTERSPEECH 2007: 1909-1912 - [c18]Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda:
Model-space MLLR for trajectory HMMs. INTERSPEECH 2007: 2065-2068 - [c17]Ranniery Maia, Tomoki Toda, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda:
An excitation model for HMM-based speech synthesis based on residual modeling. SSW 2007: 131-136 - [c16]Yoshihiko Nankaku, Kenichi Nakamura, Tomoki Toda, Keiichi Tokuda:
Spectral conversion based on statistical models including time-sequence matching. SSW 2007: 333-338 - 2006
- [c15]Keiichiro Oura, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
Hidden Semi-Markov Model Based Speech Recognition System using Weighted Finite-State Transducer. ICASSP (1) 2006: 33-36 - [c14]Kenichi Nakamura, Tomoki Toda, Yoshihiko Nankaku, Keiichi Tokuda:
On the Use of Phonetic Information for Mapping from Articulatory Movements to Vocal Tract Spectrum. ICASSP (1) 2006: 93-96 - [c13]Daisuke Kurata, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Zoubin Ghahramani:
Face Recognition Based on Separable Lattice HMMS. ICASSP (5) 2006: 737-740 - [c12]Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura:
Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler. ICASSP (1) 2006: 1173-1176 - [c11]Tomohiro Hakamata, Akinobu Lee, Yoshihiko Nankaku, Keiichi Tokuda:
Reducing computation on parallel decoding using frame-wise confidence scores. INTERSPEECH 2006 - [c10]Keijiro Saino, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda:
An HMM-based singing voice synthesis system. INTERSPEECH 2006 - [c9]Yosuke Uto, Yoshihiko Nankaku, Tomoki Toda, Akinobu Lee, Keiichi Tokuda:
Voice conversion based on mixtures of factor analyzers. INTERSPEECH 2006 - [c8]Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura:
Speaker adaptation of trajectory HMMs using feature-space MLLR. INTERSPEECH 2006 - 2005
- [j5]Amaro A. de Lima, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Fernando Gil Resende:
Applying Sparse KPCA for Feature Extraction in Speech Recognition. IEICE Trans. Inf. Syst. 88-D(3): 401-409 (2005) - [j4]Hiroyuki Suzuki, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
Continuous Speech Recognition Based on General Factor Dependent Acoustic Models. IEICE Trans. Inf. Syst. 88-D(3): 410-417 (2005) - [j3]Hiroyoshi Yamamoto, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification. IEICE Trans. Inf. Syst. 88-D(3): 418-424 (2005) - [j2]Yohei Itaya, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition. IEICE Trans. Inf. Syst. 88-D(3): 425-431 (2005) - [c7]Amaro A. de Lima, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Fernando Gil Resende:
Sparse KPCA for Feature Extraction in Speech Recognition. ICASSP (1) 2005: 353-356 - 2004
- [j1]Amaro A. de Lima, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
On the Use of Kernel PCA for Feature Extraction in Speech Recognition. IEICE Trans. Inf. Syst. 87-D(12): 2802-2811 (2004) - [c6]Hiroyoshi Yamamoto, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification. ICASSP (1) 2004: 29-32 - [c5]Yohei Itaya, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
Deterministic annealing EM algorithm in parameter estimation for acoustic model. INTERSPEECH 2004: 433-436 - 2003
- [c4]Hiroyuki Suzuki, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
Speech recognition using voice-characteristic-dependent acoustic models. ICASSP (1) 2003: 740-743 - [c3]Amaro A. de Lima, Heiga Zen, Yoshihiko Nankaku, Chiyomi Miyajima, Keiichi Tokuda, Tadashi Kitamura:
On the use of kernel PCA for feature extraction in speech recognition. INTERSPEECH 2003: 2625-2628 - 2000
- [c2]Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Takao Kobayashi:
Normalized Training for HMM-Based Visual Speech Recognition. ICIP 2000: 234-237
1990 – 1999
- 1999
- [c1]Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura:
Intensity- and location-normalized training for HMM-based visual speech recognition. EUROSPEECH 1999: 1287-1290
Coauthor Index
[c103] [i10] [c102] [c101] [i9] [c99] [i7] [i6] [j21] [j20] [c97] [i5] [i4] [c96] [c95] [c94] [i3] [c93] [c92] [c91] [c90] [c89] [i2] [i1] [j19] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [j18] [c78] [c77] [p1] [j17] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [j16] [c67] [c66] [j13] [c65] [c64] [c61] [c60] [c59] [c57] [c54] [j9] [c51] [c46] [c37] [c34] [c31] [c30] [c26] [c25] [c22]
[c103] [i10] [c102] [c101] [i9] [c99] [c98] [i8] [i7] [i6] [j21] [j20] [c97] [i5] [i4] [c96] [c95] [c94] [i3] [c93] [c92] [c91] [c90] [c89] [i2] [i1] [j19] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [j18] [c78] [c77] [p1] [j17] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [j16] [j15] [j14] [c68] [c67] [c66] [j13] [j12] [c65] [c64] [c63] [c62] [c61] [c60] [j11] [j10] [c59] [c58] [c57] [c56] [c55] [c54] [j9] [j8] [c53] [c52] [c51] [c50] [c49] [c48] [j7] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [j6] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j5] [j4] [j3] [j2] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
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