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2020 – today
- 2024
[j8]Hirokazu Kameoka
, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Shogo Seki:
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2213-2226 (2024)- [c37]Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, Noboru Harada:
Learning to Assess Subjective Impressions from Speech. EUSIPCO 2024: 381-385 - [c36]Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko:
Selecting N-Lowest Scores for Training MOS Prediction Models. ICASSP 2024: 1451-1455 - [c35]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka:
Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator. ICASSP 2024: 12561-12565 - [i21]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka:
Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator. CoRR abs/2403.16464 (2024) - [i20]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Yuto Kondo:
FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation. CoRR abs/2409.02245 (2024) - 2023
- [j7]Shogo Seki, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka:
Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder. IEEE Access 11: 44590-44599 (2023) - [c34]Shogo Seki, Kanami Imamura, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Noboru Harada:
W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion. EUSIPCO 2023: 296-300 - [c33]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis. ICASSP 2023: 1-5 - [c32]Shogo Seki, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko:
JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models. ICASSP 2023: 1-5 - [c31]Kou Tanaka, Takuhiro Kaneko, Hirokazu Kameoka, Shogo Seki:
CFVC: Conditional Filtering for Controllable Voice Conversion. INTERSPEECH 2023: 2058-2062 - [c30]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN. INTERSPEECH 2023: 4369-4373 - [c29]Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko:
PRVAE-VC: Non-Parallel Many-to-Many Voice Conversion with Perturbation-Resistant Variational Autoencoder. SSW 2023: 88-93 - [i19]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis. CoRR abs/2303.13909 (2023) - [i18]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN. CoRR abs/2308.07117 (2023) - 2022
- [c28]Takuhiro Kaneko, Kou Tanaka, Hirokazu Kameoka, Shogo Seki:
ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform. ICASSP 2022: 6207-6211 - [c27]Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki, Kou Tanaka:
CAUSE: Crossmodal Action Unit Sequence Estimation from Speech. INTERSPEECH 2022: 506-510 - [c26]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks. INTERSPEECH 2022: 1631-1635 - [c25]Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki:
Distilling Sequence-to-Sequence Voice Conversion Models for Streaming Conversion Applications. SLT 2022: 1022-1028 - [i17]Takuhiro Kaneko, Kou Tanaka, Hirokazu Kameoka, Shogo Seki:
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform. CoRR abs/2203.02395 (2022) - 2021
- [j6]Hirokazu Kameoka, Wen-Chin Huang, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Tomoki Toda:
Many-to-Many Voice Transformer Network. IEEE ACM Trans. Audio Speech Lang. Process. 29: 656-670 (2021) - [c24]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
Maskcyclegan-VC: Learning Non-Parallel Voice Conversion with Filling in Frames. ICASSP 2021: 5919-5923 - [i16]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames. CoRR abs/2102.12841 (2021) - [i15]Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko:
FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion. CoRR abs/2104.06900 (2021) - 2020
- [j5]Hirokazu Kameoka, Kou Tanaka, Damian Kwasny, Takuhiro Kaneko, Nobukatsu Hojo:
ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1849-1863 (2020) - [j4]Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2982-2995 (2020) - [c23]Mohammad Eshghi, Kazuhiro Kobayashi, Kou Tanaka, Hirokazu Kameoka, Tomoki Toda:
Phoneme Embeddings on Predicting Fundamental Frequency Pattern for Electrolaryngeal Speech. APSIPA 2020: 572-577 - [c22]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion. INTERSPEECH 2020: 2017-2021 - [c21]Tsunehiro Arimoto, Ryuichiro Higashinaka, Kou Tanaka, Takahito Kawanishi, Hiroaki Sugiyama, Hiroshi Sawada, Hiroshi Ishiguro:
Collection and Analysis of Dialogues Provided by Two Speakers Acting as One. SIGdial 2020: 323-328 - [i14]Hirokazu Kameoka, Wen-Chin Huang, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Tomoki Toda:
Many-to-Many Voice Transformer Network. CoRR abs/2005.08445 (2020) - [i13]Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Shogo Seki:
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics. CoRR abs/2010.02977 (2020) - [i12]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion. CoRR abs/2010.11672 (2020)
2010 – 2019
- 2019
- [j3]Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder. IEEE ACM Trans. Audio Speech Lang. Process. 27(9): 1432-1443 (2019) - [c20]Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo:
ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms. ICASSP 2019: 6805-6809 - [c19]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion. ICASSP 2019: 6820-6824 - [c18]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion. INTERSPEECH 2019: 679-683 - [c17]Mohammad Eshghi, Kou Tanaka, Kazuhiro Kobayashi, Hirokazu Kameoka, Tomoki Toda:
An Investigation of Features for Fundamental Frequency Pattern Prediction in Electrolaryngeal Speech Enhancement. SSW 2019: 251-256 - [i11]Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo:
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation. CoRR abs/1904.02892 (2019) - [i10]Hirokazu Kameoka, Kou Tanaka, Aaron Valero Puche, Yasunori Ohishi, Takuhiro Kaneko:
Crossmodal Voice Conversion. CoRR abs/1904.04540 (2019) - [i9]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion. CoRR abs/1904.04631 (2019) - [i8]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion. CoRR abs/1907.12279 (2019) - [i7]Xin Wang, 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, Yu-Huai Peng, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang, Sébastien Le Maguer, Markus Becker, Fergus Henderson, Rob Clark, Yu Zhang, Quan Wang, Ye Jia, Kai Onuma, Koji Mushika, Takashi Kaneda, Yuan Jiang, Li-Juan Liu, Yi-Chiao Wu, Wen-Chin Huang, Tomoki Toda, Kou Tanaka, Hirokazu Kameoka, Ingmar Steiner, Driss Matrouf, Jean-François Bonastre, Avashna Govender, Srikanth Ronanki, Jing-Xuan Zhang, Zhen-Hua Ling:
The ASVspoof 2019 database. CoRR abs/1911.01601 (2019) - 2018
- [c16]Nobukatsu Hojo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko:
Automatic Speech Pronunciation Correction with Dynamic Frequency Warping-Based Spectral Conversion. EUSIPCO 2018: 2310-2314 - [c15]Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Hiroyasu Ando:
Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram. EUSIPCO 2018: 2514-2518 - [c14]Kou Tanaka, Hirokazu Kameoka, Kazuho Morikawa:
Vae-Space: Deep Generative Model of Voice Fundamental Frequency Contours. ICASSP 2018: 5779-5783 - [c13]Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks. SLT 2018: 266-273 - [c12]Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka:
Synthetic-to-Natural Speech Waveform Conversion Using Cycle-Consistent Adversarial Networks. SLT 2018: 632-639 - [i6]Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Hiroyasu Ando:
Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms. CoRR abs/1804.02181 (2018) - [i5]Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks. CoRR abs/1806.02169 (2018) - [i4]Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder. CoRR abs/1808.05092 (2018) - [i3]Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka:
WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks. CoRR abs/1809.10288 (2018) - [i2]Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo:
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion. CoRR abs/1811.01609 (2018) - [i1]Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo:
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms. CoRR abs/1811.04076 (2018) - 2017
- [j2]Kou Tanaka, Tomoki Toda, Satoshi Nakamura:
A Vibration Control Method of an Electrolarynx Based on Statistical F0 Pattern Prediction. IEICE Trans. Inf. Syst. 100-D(9): 2165-2173 (2017) - [c11]Kou Tanaka, Hirokazu Kameoka, Tomoki Toda, Satoshi Nakamura:
Physically Constrained Statistical F0 Prediction for Electrolaryngeal Speech Enhancement. INTERSPEECH 2017: 1069-1073 - 2016
- [c10]Kou Tanaka, Tomoki Toda, Graham Neubig, Satoshi Nakamura:
Real-time vibration control of an electrolarynx based on statistical F0 contour prediction. EUSIPCO 2016: 1333-1337 - [c9]Kou Tanaka, Hirokazu Kameoka, Tomoki Toda, Satoshi Nakamura:
Statistical F0 prediction for electrolaryngeal speech enhancement considering generative process of F0 contours within product of experts framework. ICASSP 2016: 5665-5669 - 2015
- [c8]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An Enhanced Electrolarynx with Automatic Fundamental Frequency Control based on Statistical Prediction. ASSETS 2015: 435-436 - [c7]Shinnosuke Takamichi, Kazuhiro Kobayashi, Kou Tanaka, Tomoki Toda, Satoshi Nakamura:
The NAIST Text-to-Speech System for the Blizzard Challenge 2015. Blizzard Challenge 2015 - [c6]Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Non-audible murmur enhancement based on statistical conversion using air- and body-conductive microphones in noisy environments. INTERSPEECH 2015: 2769-2773 - 2014
- [j1]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A Hybrid Approach to Electrolaryngeal Speech Enhancement Based on Noise Reduction and Statistical Excitation Generation. IEICE Trans. Inf. Syst. 97-D(6): 1429-1437 (2014) - [c5]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An inter-speaker evaluation through simulation of electrolarynx control based on statistical F0 prediction. APSIPA 2014: 1-4 - [c4]Sakura Tsuruta, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An evaluation of target speech for a nonaudible murmur enhancement system in noisy environments. APSIPA 2014: 1-4 - [c3]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement. ICASSP 2014: 4488-4492 - [c2]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Direct F0 control of an electrolarynx based on statistical excitation feature prediction and its evaluation through simulation. INTERSPEECH 2014: 31-35 - 2013
- [c1]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion. INTERSPEECH 2013: 3067-3071
Coauthor Index
[j8] [c37] [c36] [c35] [i21] [i20] [j7] [c34] [c33] [c32] [c31] [c30] [c29] [i19] [i18] [c28] [c27] [c26] [c25] [i17] [j6] [c24] [i16] [i15] [j5] [j4] [c23] [c22] [i14] [i13] [i12] [j3] [c20] [c19] [c18] [c17] [i11] [i10] [i9] [i8] [i7] [c16] [c15] [c14] [c13] [c12] [i6] [i5] [i4] [i3] [i2] [i1] [c11] [c9]
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last updated on 2024-11-07 20:33 CET by the dblp team
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