GAN-PF (DEMO)
  • Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, and Kunio Kashino, "Generative Adversarial Network-based Postfilter for Statistical Parametric Speech Synthesis," The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
  • Takuhiro Kaneko, Shinji Takaki, Hirokazu Kameoka, and Junichi Yamagishi, "Generative Adversarial Network-based Postfilter for STFT Spectrograms," The Annual Conference of the International Speech Communication Association (Interspeech), 2017.
CycleGAN-VC (DEMO1), (DEMO2), (DEMO3)
  • Takuhiro Kaneko and Hirokazu Kameoka, "Parallel-data-free voice conversion using cycle-consistent adversarial networks," arXiv:1711.11293 [stat.ML], Nov. 2017. (PDF)
  • Takuhiro Kaneko and Hirokazu Kameoka, "Non-parallel voice conversion using cycle-consistent adversarial networks," in Proc. The 2018 European Signal Processing Conference (EUSIPCO 2018), pp. 2114-2118, Aug. 2018.
  • Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, and Nobukatsu Hojo, "CycleGAN-VC2: Improved CycleGAN-based non-parallel voice conversion," in Proc. ICASSP 2019 (arXiv:1904.04631, Apr. 2019). (PDF)
  • Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, and Nobukatsu Hojo, "CycleGAN-VC2: Improved CycleGAN-based non-parallel voice conversion," in Proc. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), pp. 6820-6824, May 2019.
  • Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, and Nobukatsu Hojo, "CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion," arXiv:2010.11672 [cs.SD], Oct. 2020. (PDF)
  • Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, and Nobukatsu Hojo, "CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion," in Proc. The 21st Annual Conference of the International Speech Communication Association (Interspeech 2020), Sep. 2020.
StarGAN-VC (DEMO1), (DEMO2), (DEMO3)
  • Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, and Nobukatsu Hojo, "StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks," arXiv:1806.02169 [cs.SD], Jun. 2018. (PDF)
  • Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, and Nobukatsu Hojo, "StarGAN-VC: Non-parallel many-to-many voice conversion using star generative adversarial networks," in Proc. 2018 IEEE Workshop on Spoken Language Technology (SLT 2018), pp. 266-273, Dec. 2018.
  • Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, and Nobukatsu Hojo, "StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion," arXiv:1907.12279 [cs.SD], Jul. 2019. (PDF)
  • Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, and Nobukatsu Hojo, "StarGAN-VC2: Rethinking conditional methods for StarGAN-based voice conversion," in Proc. The 20th Annual Conference of the International Speech Communication Association (Interspeech 2019), pp. 679-683, Sep. 2019.
  • Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, and Nobukatsu Hojo, "Nonparallel voice conversion with augmented classifier star generative adversarial networks," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2982-2995, 2020.
ACVAE-VC (DEMO1, DEMO2, DEMO3)
  • Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, and Nobukatsu Hojo, "ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder," arXiv:1808.05092 [stat.ML], Aug. 2018. (PDF)
  • Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka and Nobukatsu Hojo, "ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 9, pp. 1432-1443, Sep. 2019.
WaveCycleGAN (DEMO1), (DEMO2)
  • Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, and Hirokazu Kameoka, "WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks," arXiv:1809.10288 [eess.AS], Sep. 2018. (PDF)
  • Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, and Hirokazu Kameoka, "Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks," in Proc. 2018 IEEE Workshop on Spoken Language Technology (SLT 2018), pp. 632-639, Dec. 2018.
  • Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, and Nobukatsu Hojo, "WaveCycleGAN2: Time-domain neural post-filter for speech waveform generation," arXiv:1904.02892 [cs.SD], Apr. 2019. (PDF)
S2S-VC (DEMO)
  • Hirokazu Kameoka, Kou Tanaka, and Takuhiro Kaneko, "FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion," arXiv:2104.06900 [cs.SD], 2021. (PDF)
RNNS2S-VC (DEMO)
  • Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, and Nobukatsu Hojo, "AttS2S-VC: Sequence-to-sequence voice conversion with attention and context preservation mechanisms," arXiv:1811.04076 [eess.AS], Nov. 2018. (PDF)
  • Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, and Nobukatsu Hojo, "AttS2S-VC: Sequence-to-sequence voice conversion with attention and context preservation mechanisms," in Proc. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), pp. 6805-6809, May 2019.
ConvS2S-VC (DEMO1, DEMO2)
  • Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, and Nobukatsu Hojo, "ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion," arXiv:1811.01609 [cs.SD], Nov. 2018. (PDF)
  • Hirokazu Kameoka, Kou Tanaka, Damian Kwasny, Takuhiro Kaneko, and Nobukatsu Hojo, "ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 1849-1863, Jun. 2020.
  • Hirokazu Kameoka, Kou Tanaka, and Takuhiro Kaneko, "FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion," arXiv:2104.06900 [cs.SD], 2021. (PDF)
Transformer-VC (VTN) (DEMO1, DEMO2)
  • Hirokazu Kameoka, Wen-Chin Huang, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, and Tomoki Toda, "Many-to-Many Voice Transformer Network," arXiv:2005.08445 [eess.AS], May 2020. (PDF)
  • Hirokazu Kameoka, Kou Tanaka, and Takuhiro Kaneko, "FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion," arXiv:2104.06900 [cs.SD], 2021. (PDF)
Crossmodal VC (DEMO)
  • Hirokazu Kameoka, Kou Tanaka, Aaron Valero Puche, Yasunori Ohishi, and Takuhiro Kaneko, "Crossmodal Voice Conversion," arXiv:1904.04540 [cs.SD], Apr. 2019. (PDF)
CAUSE (DEMO1, DEMO2)
  • Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki, Kou Tanaka, "CAUSE: Crossmodal action unit sequence estimation from speech with application to facial animation synthesis," in Proc. The 23rd Annual Conference of the International Speech Communication Association (Interspeech 2022), pp. 506-510, Sep. 2022. (PDF)
VoiceGrad (DEMO1, DEMO2)

  • Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, and Nobukatsu Hojo, "VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics," arXiv:2010.02977 [cs.SD], Oct. 2020.
  • Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, and Nobukatsu Hojo, "VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics," submitted to IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020.
CDR-NMF (DEMO)

  • Hirokazu Kameoka, Takuya Higuchi, Mikihiro Tanaka, and Li Li, "Nonnegative matrix factorization with basis clustering using cepstral distance regularization," IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 6, pp. 1029-1040, Jun. 2018. (PDF)
Multichannel FHMM (DEMO1, DEMO2)

  • Takuya Higuchi, Hirofumi Takeda, Tomohiko Nakamura, and Hirokazu Kameoka, "A unified approach for underdetermined blind signal separation and source activity detection by multichannel factorial hidden Markov models," in Proc. The 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), pp. 850-854, Sep. 2014. (PDF)
Multichannel VAE (DEMO)

  • Hirokazu Kameoka, Li Li, Shota Inoue, and Shoji Makino, "Semi-blind source separation with multichannel variational autoencoder," arXiv:1808.00892 [stat.ML], Aug. 2018. (PDF)
  • Hirokazu Kameoka, Li Li, Shota Inoue, and Shoji Makino, "Supervised determined source separation with multichannel variational autoencoder," Neural Computation, vol. 31, no. 9, pp. 1891-1914, Sep. 2019. (PDF)
  • Li Li, Hirokazu Kameoka, Shota Inoue, and Shoji Makino, "FastMVAE: A fast optimization algorithm for the multichannel variational autoencoder method," IEEE Access, vol. 8, pp. 228740-228753, Dec. 2020. (PDF)
  • Li Li, Hirokazu Kameoka, and Shoji Makino, "FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures," arXiv:2109.13496, Sep. 2021.(PDF)