Fetching the paper…
Reading the bibliography…
Recently, cycle-consistent adversarial network (Cycle-GAN) has been successfully applied to voice conversion to a different speaker without parallel data, although in those approaches an individual model is needed for each target speaker.
Y. Stylianou, O. Cappé, and E. Moulines, “Continuous probabilistic transform for voice conversion,”
1998
Earlier work this paper cites.
A. Kain and M. W. Macon, “Spectral voice conversion for text-to-speech synthesis,” in
1998
Earlier work this paper cites.
Y. Ohtani, T. Toda, H. Saruwatari, and K. Shikano, “Maximum likelihood voice conversion based on gmm with straight mixed excitation,” 2006
2006
Earlier work this paper cites.
T. Toda, A. W. Black, and K. Tokuda, “Voice conversion based on maximum-likelihood estimation of spectral parameter trajectory,”
2007
Earlier work this paper cites.
Z. Inanoglu and S. Young, “Data-driven emotion conversion in spoken english,”
2009
Earlier work this paper cites.
S. Desai, A. W. Black, B. Yegnanarayana, and K. Prahallad, “Spectral mapping using artificial neural networks for voice conversion,”
2010
Earlier work this paper cites.
E. Helander, T. Virtanen, J. Nurminen, and M. Gabbouj, “Voice conversion using partial least squares regression,”
2010
Earlier work this paper cites.
D. Saito, K. Yamamoto, N. Minematsu, and K. Hirose, “One-to-many voice conversion based on tensor representation of speaker space,” in
2011
Earlier work this paper cites.
T. Toda, M. Nakagiri, and K. Shikano, “Statistical voice conversion techniques for body-conducted unvoiced speech enhancement,”
2012
Earlier work this paper cites.
D. P. Kingma and M. Welling, “Auto-encoding variational bayes,”
2013
Earlier work this paper cites.
T. Nakashika, T. Takiguchi, and Y. Ariki, “Voice conversion based on speaker-dependent restricted boltzmann machines,”
2014
Earlier work this paper cites.
S. H. Mohammadi and A. Kain, “Voice conversion using deep neural networks with speaker-independent pre-training,” in
2014
Earlier work this paper cites.
T. Nakashika, T. Takiguchi, and Y. Ariki, “High-order sequence modeling using speaker-dependent recurrent temporal restricted boltzmann machines for voice conversion,” in
2014
Earlier work this paper cites.
L.-H. Chen, Z.-H. Ling, L.-J. Liu, and L.-R. Dai, “Voice conversion using deep neural networks with layer-wise generative training,”
2014
Cited alongside, same era.
S. Takamichi, T. Toda, G. Neubig, S. Sakti, and S. Nakamura, “A postfilter to modify the modulation spectrum in hmm-based speech synthesis,” in
2014
Cited alongside, same era.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in
2014
Cited alongside, same era.
L. Sun, S. Kang, K. Li, and H. Meng, “Voice conversion using deep bidirectional long short-term memory based recurrent neural networks,” in
2015
Cited alongside, same era.
S. A. Kumar and C. S. Kumar, “Improving the intelligibility of dysarthric speech towards enhancing the effectiveness of speech therapy,” in
2016
Cited alongside, same era.
2017
Later among the works it cites.
W.-N. Hsu, Y. Zhang, and J. Glass, “Unsupervised learning of disentangled and interpretable representations from sequential data,” in
2017
Later among the works it cites.
2017
Later among the works it cites.
G. Lample, N. Zeghidour, N. Usunier, A. Bordes, L. Denoyer
2017
Later among the works it cites.
2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
C.-C. Hsu, H.-T. Hwang, Y.-C. Wu, Y. Tsao, and H.-M. Wang, “Voice conversion from non-parallel corpora using variational auto-encoder,” in
2016
Cited alongside, same era.
A. Odena, C. Olah, and J. Shlens, “Conditional image synthesis with auxiliary classifier gans,”
2016
Cited alongside, same era.
2016
Cited alongside, same era.
W. Shi, J. Caballero, F. Huszár, J. Totz, A. P. Aitken, R. Bishop, D. Rueckert, and Z. Wang, “Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,” in
2016
Cited alongside, same era.
2017
Cited alongside, same era.
T. Kinnunen, L. Juvela, P. Alku, and J. Yamagishi, “Non-parallel voice conversion using i-vector plda: Towards unifying speaker verification and transformation,” in
2017
Cited alongside, same era.
T. Kaneko, H. Kameoka, K. Hiramatsu, and K. Kashino, “Sequence-to-sequence voice conversion with similarity metric learned using generative adversarial networks,” in
2017
Cited alongside, same era.
Later among the works it cites.
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros, “Image-to-image translation with conditional adversarial networks,”
2017
Later among the works it cites.
2017
Later among the works it cites.
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville, “Improved training of wasserstein gans,” in
2017
Later among the works it cites.
C. Veaux, J. Yamagishi, K. MacDonald
2017
Later among the works it cites.
E. L. Denton
2017
Later among the works it cites.