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We present an unsupervised non-parallel many-to-many voice conversion (VC) method using a generative adversarial network (GAN) called StarGAN v2.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” Advances in neural information processing systems , vol. 25, pp. 1097–1105, 2012
2012
Earlier work this paper cites.
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: an asr corpus based on public domain audio books,” in 2015 IEEE international conference on acoustics, speech and signal processing (ICASSP) . IEEE, 2015, pp. 5206–5210
2015
Earlier work this paper cites.
M. Morise, F. Yokomori, and K. Ozawa, “World: a vocoder-based high-quality speech synthesis system for real-time applications,” IEICE TRANSACTIONS on Information and Systems , vol. 99, no. 7, pp. 1877–1884, 2016
2016
Earlier work this paper cites.
L. Sun, K. Li, H. Wang, S. Kang, and H. Meng, “Phonetic posteriorgrams for many-to-one voice conversion without parallel data training,” in 2016 IEEE International Conference on Multimedia and Expo (ICME) . IEEE, 2016, pp. 1–6
2016
Earlier work this paper cites.
X. Huang and S. Belongie, “Arbitrary style transfer in real-time with adaptive instance normalization,” in Proceedings of the IEEE International Conference on Computer Vision , 2017, pp. 1501–1510
2017
Earlier work this paper cites.
S. Kim, T. Hori, and S. Watanabe, “Joint ctc-attention based end-to-end speech recognition using multi-task learning,” in 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP) . IEEE, 2017, pp. 4835–4839
2017
Earlier work this paper cites.
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros, “Unpaired image-to-image translation using cycle-consistent adversarial networks,” in Proceedings of the IEEE international conference on computer vision , 2017, pp. 2223–2232
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
K. Qian, Y. Zhang, S. Chang, X. Yang, and M. Hasegawa-Johnson, “Autovc: Zero-shot voice style transfer with only autoencoder loss,” in International Conference on Machine Learning . PMLR, 2019, pp. 5210–5219
2019
Cited alongside, same era.
S. Ding and R. Gutierrez-Osuna, “Group latent embedding for vector quantized variational autoencoder in non-parallel voice conversion.” in INTERSPEECH , 2019, pp. 724–728
2019
Cited alongside, same era.
2019
Cited alongside, same era.
K. Tanaka, H. Kameoka, T. Kaneko, and N. Hojo, “Atts2s-vc: Sequence-to-sequence voice conversion with attention and context preservation mechanisms,” in ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2019, pp. 6805–6809
2019
Cited alongside, same era.
K. Qian, Z. Jin, M. Hasegawa-Johnson, and G. J. Mysore, “F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 6284–6288
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
Y. Choi, Y. Uh, J. Yoo, and J.-W. Ha, “Stargan v2: Diverse image synthesis for multiple domains,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2020, pp. 8188–8197
2020
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2019
Cited alongside, same era.
S. Kum and J. Nam, “Joint detection and classification of singing voice melody using convolutional recurrent neural networks,” Applied Sciences , vol. 9, no. 7, p. 1324, 2019
2019
Cited alongside, same era.
J. Yamagishi, C. Veaux, K. MacDonald et al. , “Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),” 2019
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
W.-C. Huang, H. Luo, H.-T. Hwang, C.-C. Lo, Y.-H. Peng, Y. Tsao, and H.-M. Wang, “Unsupervised representation disentanglement using cross domain features and adversarial learning in variational autoencoder based voice conversion,” IEEE Transactions on Emerging Topics in Computational Intelligence , vol. 4, no. 4, pp. 468–479, 2020
2020
Cited alongside, same era.
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
R. Yamamoto, E. Song, and J.-M. Kim, “Parallel wavegan: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 6199–6203
2020
Later among the works it cites.