A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion. - Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (INTERSPEECH, 2013)

An inter-speaker evaluation through simulation of electrolarynx control based on statistical F0 prediction. - Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (APSIPA, 2014)

An evaluation of target speech for a nonaudible murmur enhancement system in noisy environments. - Sakura Tsuruta; Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (APSIPA, 2014)

An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement. - Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (ICASSP, 2014)

Direct F0 control of an electrolarynx based on statistical excitation feature prediction and its evaluation through simulation. - Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (INTERSPEECH, 2014)

A Hybrid Approach to Electrolaryngeal Speech Enhancement Based on Noise Reduction and Statistical Excitation Generation. - Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (IEICE Trans. Inf. Syst., 2014)

An Enhanced Electrolarynx with Automatic Fundamental Frequency Control based on Statistical Prediction. - Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (ASSETS, 2015)

The NAIST Text-to-Speech System for the Blizzard Challenge 2015. - Shinnosuke Takamichi; Kazuhiro Kobayashi; Kou Tanaka; Tomoki Toda; Satoshi Nakamura 001 (Blizzard Challenge, 2015)

Non-audible murmur enhancement based on statistical conversion using air- and body-conductive microphones in noisy environments. - Yusuke Tajiri; Kou Tanaka; Tomoki Toda; Graham Neubig; Sakriani Sakti; Satoshi Nakamura 001 (INTERSPEECH, 2015)

Real-time vibration control of an electrolarynx based on statistical F0 contour prediction. - Kou Tanaka; Tomoki Toda; Graham Neubig; Satoshi Nakamura 001 (EUSIPCO, 2016)

Statistical F0 prediction for electrolaryngeal speech enhancement considering generative process of F0 contours within product of experts framework. - Kou Tanaka; Hirokazu Kameoka; Tomoki Toda; Satoshi Nakamura 001 (ICASSP, 2016)

Physically Constrained Statistical F0 Prediction for Electrolaryngeal Speech Enhancement. - Kou Tanaka; Hirokazu Kameoka; Tomoki Toda; Satoshi Nakamura 001 (INTERSPEECH, 2017)

A Vibration Control Method of an Electrolarynx Based on Statistical F0 Pattern Prediction. - Kou Tanaka; Tomoki Toda; Satoshi Nakamura 001 (IEICE Trans. Inf. Syst., 2017)

Automatic Speech Pronunciation Correction with Dynamic Frequency Warping-Based Spectral Conversion. - Nobukatsu Hojo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (EUSIPCO, 2018)

Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram. - Keisuke Oyamada; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo; Hiroyasu Ando (EUSIPCO, 2018)

Vae-Space: Deep Generative Model of Voice Fundamental Frequency Contours. - Kou Tanaka; Hirokazu Kameoka; Kazuho Morikawa (ICASSP, 2018)

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (SLT, 2018)

Synthetic-to-Natural Speech Waveform Conversion Using Cycle-Consistent Adversarial Networks. - Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo; Hirokazu Kameoka (SLT, 2018)

Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms. - Keisuke Oyamada; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo; Hiroyasu Ando (CoRR, 2018)

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (CoRR, 2018)

ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (CoRR, 2018)

WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks. - Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo; Hirokazu Kameoka (CoRR, 2018)

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion. - Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo (CoRR, 2018)

Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (ICASSP, 2019)

ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Nobukatsu Hojo (ICASSP, 2019)

StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (INTERSPEECH, 2019)

An Investigation of Features for Fundamental Frequency Pattern Prediction in Electrolaryngeal Speech Enhancement. - Mohammad Eshghi; Kou Tanaka; Kazuhiro Kobayashi; Hirokazu Kameoka; Tomoki Toda (SSW, 2019)

WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Nobukatsu Hojo (CoRR, 2019)

Crossmodal Voice Conversion. - Hirokazu Kameoka; Kou Tanaka; Aaron Valero Puche; Yasunori Ohishi; Takuhiro Kaneko (CoRR, 2019)

The ASVspoof 2019 database. - Xin Wang 037; Junichi Yamagishi; Massimiliano Todisco; Héctor Delgado; Andreas Nautsch; Nicholas W. D. Evans; Md. Sahidullah; Ville Vestman; Tomi Kinnunen; Kong Aik Lee; Lauri Juvela; Paavo Alku; et al. (CoRR, 2019)

ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Phoneme Embeddings on Predicting Fundamental Frequency Pattern for Electrolaryngeal Speech. - Mohammad Eshghi; Kazuhiro Kobayashi; Kou Tanaka; Hirokazu Kameoka; Tomoki Toda (APSIPA, 2020)

CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (INTERSPEECH, 2020)

Collection and Analysis of Dialogues Provided by Two Speakers Acting as One. - Tsunehiro Arimoto; Ryuichiro Higashinaka; Kou Tanaka; Takahito Kawanishi; Hiroaki Sugiyama; Hiroshi Sawada; Hiroshi Ishiguro (SIGdial, 2020)

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion. - Hirokazu Kameoka; Kou Tanaka; Damian Kwasny; Takuhiro Kaneko; Nobukatsu Hojo (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Maskcyclegan-VC: Learning Non-Parallel Voice Conversion with Filling in Frames. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Nobukatsu Hojo (ICASSP, 2021)

FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion. - Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (CoRR, 2021)

Many-to-Many Voice Transformer Network. - Hirokazu Kameoka; Wen-Chin Huang; Kou Tanaka; Takuhiro Kaneko; Nobukatsu Hojo; Tomoki Toda (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform. - Takuhiro Kaneko; Kou Tanaka; Hirokazu Kameoka; Shogo Seki (ICASSP, 2022)

CAUSE: Crossmodal Action Unit Sequence Estimation from Speech. - Hirokazu Kameoka; Takuhiro Kaneko; Shogo Seki; Kou Tanaka (INTERSPEECH, 2022)

MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (INTERSPEECH, 2022)

Distilling Sequence-to-Sequence Voice Conversion Models for Streaming Conversion Applications. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Shogo Seki (SLT, 2022)

W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion. - Shogo Seki; Kanami Imamura; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Noboru Harada (EUSIPCO, 2023)

Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (ICASSP, 2023)

JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models. - Shogo Seki; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (ICASSP, 2023)

iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (INTERSPEECH, 2023)

CFVC: Conditional Filtering for Controllable Voice Conversion. - Kou Tanaka; Takuhiro Kaneko; Hirokazu Kameoka; Shogo Seki (INTERSPEECH, 2023)

PRVAE-VC: Non-Parallel Many-to-Many Voice Conversion with Perturbation-Resistant Variational Autoencoder. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko (SSW, 2023)

Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder. - Shogo Seki; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka (IEEE Access, 2023)

Learning to Assess Subjective Impressions from Speech. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko; Noboru Harada (EUSIPCO, 2024)

Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka (ICASSP, 2024)

Selecting N-Lowest Scores for Training MOS Prediction Models. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (ICASSP, 2024)

FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Yuto Kondo (INTERSPEECH, 2024)

PRVAE-VC2: Non-Parallel Voice Conversion by Distillation of Speech Representations. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Yuto Kondo (INTERSPEECH, 2024)

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo; Shogo Seki (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Rethinking Mean Opinion Scores in Speech Quality Assessment: Score Aggregation through Quantized Distribution Fitting. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (ICASSP, 2025)

JIS: A Speech Corpus of Japanese Idol Speakers with Various Speaking Styles. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (CoRR, 2025)

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting. - Yuto Kondo; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (CoRR, 2025)