Spectral modeling with contextual additive structure for HMM-based speech synthesis. - Shinji Takaki; 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 optimization algorithm of independent mean and variance parameter tying structures for HMM-based speech synthesis. - Shinji Takaki; Keiichiro Oura; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 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)

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)

Contextual partial additive structure for HMM-based speech synthesis. - Shinji Takaki; Yoshihiko Nankaku; Keiichi Tokuda (ICASSP, 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)

Contextual Additive Structure for HMM-Based Speech Synthesis. - Shinji Takaki; Yoshihiko Nankaku; Keiichi Tokuda (IEEE J. Sel. Top. Signal Process., 2014)

Multiple feed-forward deep neural networks for statistical parametric speech synthesis. - Shinji Takaki; Sangjin Kim; Junichi Yamagishi; JongJin Kim (INTERSPEECH, 2015)

Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals. - Eita Nakamura; Shinji Takaki (MCM, 2015)

Deep Denoising Auto-encoder for Statistical Speech Synthesis. - Zhenzhou Wu; Shinji Takaki; Junichi Yamagishi (CoRR, 2015)

The NII speech synthesis entry for Blizzard Challenge 2016. - Lauri Juvela; Xin Wang 037; Shinji Takaki; Sangjin Kim; Manu Airaksinen; Junichi Yamagishi (Blizzard Challenge, 2016)

A deep auto-encoder based low-dimensional feature extraction from FFT spectral envelopes for statistical parametric speech synthesis. - Shinji Takaki; Junichi Yamagishi (ICASSP, 2016)

Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks. - Lauri Juvela; Xin Wang 037; Shinji Takaki; Manu Airaksinen; Junichi Yamagishi; Paavo Alku (INTERSPEECH, 2016)

Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System Using Deep Recurrent Neural Networks. - Cassia Valentini-Botinhao; Xin Wang 037; Shinji Takaki; Junichi Yamagishi (INTERSPEECH, 2016)

Enhance the Word Vector with Prosodic Information for the Recurrent Neural Network Based TTS System. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (INTERSPEECH, 2016)

Speaker Adaptation of Various Components in Deep Neural Network based Speech Synthesis. - Shinji Takaki; Sangjin Kim; Junichi Yamagishi (SSW, 2016)

Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech. - Cassia Valentini-Botinhao; Xin Wang 037; Shinji Takaki; Junichi Yamagishi (SSW, 2016)

A Comparative Study of the Performance of HMM, DNN, and RNN based Speech Synthesis Systems Trained on Very Large Speaker-Dependent Corpora. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (SSW, 2016)

Investigation of Using Continuous Representation of Various Linguistic Units in Neural Network Based Text-to-Speech Synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (IEICE Trans. Inf. Syst., 2016)

Constructing a Deep Neural Network Based Spectral Model for Statistical Speech Synthesis. - Shinji Takaki; Junichi Yamagishi (Recent Advances in Nonlinear Speech Processing, 2016)

Adapting and controlling DNN-based speech synthesis using input codes. - Hieu-Thi Luong; Shinji Takaki; Gustav Eje Henter; Junichi Yamagishi (ICASSP, 2017)

An autoregressive recurrent mixture density network for parametric speech synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (ICASSP, 2017)

Generative Adversarial Network-Based Postfilter for STFT Spectrograms. - Takuhiro Kaneko; Shinji Takaki; Hirokazu Kameoka; Junichi Yamagishi (INTERSPEECH, 2017)

Complex-Valued Restricted Boltzmann Machine for Direct Learning of Frequency Spectra. - Toru Nakashika; Shinji Takaki; Junichi Yamagishi (INTERSPEECH, 2017)

Direct Modeling of Frequency Spectra and Waveform Generation Based on Phase Recovery for DNN-Based Speech Synthesis. - Shinji Takaki; Hirokazu Kameoka; Junichi Yamagishi (INTERSPEECH, 2017)

An RNN-Based Quantized F0 Model with Multi-Tier Feedback Links for Text-to-Speech Synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (INTERSPEECH, 2017)

Unsupervised Speaker Adaptation for DNN-based Speech Synthesis using Input Codes. - Shinji Takaki; Yoshikazu Nishimura; Junichi Yamagishi (APSIPA, 2018)

A Comparison of Recent Waveform Generation and Acoustic Modeling Methods for Neural-Network-Based Speech Synthesis. - Xin Wang 037; Jaime Lorenzo-Trueba; Shinji Takaki; Lauri Juvela; Junichi Yamagishi (ICASSP, 2018)

Bidirectional Voice Conversion Based on Joint Training Using Gaussian-Gaussian Deep Relational Model. - Kentaro Sone; Shinji Takaki; Toru Nakashika (Odyssey, 2018)

Wasserstein GAN and Waveform Loss-Based Acoustic Model Training for Multi-Speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder. - Yi Zhao 006; Shinji Takaki; Hieu-Thi Luong; Junichi Yamagishi; Daisuke Saito; Nobuaki Minematsu (IEEE Access, 2018)

Complex-Valued Restricted Boltzmann Machine for Direct Speech Parameterization from Complex Spectra. - Toru Nakashika; Shinji Takaki; Junichi Yamagishi (CoRR, 2018)

Investigating different representations for modeling and controlling multiple emotions in DNN-based speech synthesis. - Jaime Lorenzo-Trueba; Gustav Eje Henter; Shinji Takaki; Junichi Yamagishi; Yosuke Morino; Yuta Ochiai (Speech Commun., 2018)

Investigating very deep highway networks for parametric speech synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (Speech Commun., 2018)

Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

STFT Spectral Loss for Training a Neural Speech Waveform Model. - Shinji Takaki; Toru Nakashika; Xin Wang 037; Junichi Yamagishi (ICASSP, 2019)

Neural Source-filter-based Waveform Model for Statistical Parametric Speech Synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (ICASSP, 2019)

Investigation of Enhanced Tacotron Text-to-speech Synthesis Systems with Self-attention for Pitch Accent Language. - Yusuke Yasuda; Xin Wang 037; Shinji Takaki; Junichi Yamagishi (ICASSP, 2019)

Does the Lombard Effect Improve Emotional Communication in Noise? - Analysis of Emotional Speech Acted in Noise. - Yi Zhao 006; Atsushi Ando; Shinji Takaki; Junichi Yamagishi; Satoshi Kobashikawa (INTERSPEECH, 2019)

Rakugo speech synthesis using segment-to-segment neural transduction and style tokens - toward speech synthesis for entertaining audiences. - Shuhei Kato; Yusuke Yasuda; Xin Wang 037; Erica Cooper; Shinji Takaki; Junichi Yamagishi (SSW, 2019)

Training a Neural Speech Waveform Model using Spectral Losses of Short-Time Fourier Transform and Continuous Wavelet Transform. - Shinji Takaki; Hirokazu Kameoka; Junichi Yamagishi (CoRR, 2019)

Transformation of low-quality device-recorded speech to high-quality speech using improved SEGAN model. - Seyyed Saeed Sarfjoo; Xin Wang 037; Gustav Eje Henter; Jaime Lorenzo-Trueba; Shinji Takaki; Junichi Yamagishi (CoRR, 2019)

Complex-Valued Restricted Boltzmann Machine for Speaker-Dependent Speech Parameterization From Complex Spectra. - Toru Nakashika; Shinji Takaki; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 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)

Modeling of Rakugo Speech and Its Limitations: Toward Speech Synthesis That Entertains Audiences. - Shuhei Kato; Yusuke Yasuda; Xin Wang 037; Erica Cooper; Shinji Takaki; Junichi Yamagishi (IEEE Access, 2020)

Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis. - Xin Wang 037; Shinji Takaki; Junichi Yamagishi; Simon King 001; Keiichi Tokuda (IEEE ACM Trans. Audio Speech Lang. Process., 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)

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)