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In this paper, we present a Distribution-Preserving Voice Anonymization technique, as our submission to the VoicePrivacy Challenge 2020.
1905
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J. S. Chung, A. Nagrani, and A. Zisserman, “Voxceleb2: Deep speaker recognition,” in
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R. V. Cox, D. E. Bock, K. B. Bauer, J. D. Johnston, and J. H. Synder, “Analog Voice Privacy System.”
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K. Hashimoto, J. Yamagishi, and I. Echizen, “Privacy-preserving sound to degrade automatic speaker verification performance,”
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R. Shokri, M. Stronati, C. Song, and V. Shmatikov, “Membership inference attacks against machine learning models,” in
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A. Nagrani, J. S. Chung, and A. Zisserman, “Voxceleb: A large-scale speaker identification dataset,” in
2017
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J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerrv-Ryan
2018
Cited alongside, same era.
L. J. Liu, Z. H. Ling, Yuan-Jiang, Ming-Zhou, and L. R. Dai, “Wavenet vocoder with limited training data for voice conversion,”
2018
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S. Arik, J. Chen, K. Peng, W. Ping, and Y. Zhou, “Neural voice cloning with a few samples,” in
2018
Cited alongside, same era.
F. Bahmaninezhad, C. Zhang, and J. Hansen, “Convolutional Neural Network Based Speaker De-Identification,” vol. 2016, no. June, pp. 255–260, 2018
2018
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E. Richardson and Y. Weiss, “On GANs and GMMs,” in
2018
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H. Turner, G. Lovisotto, and I. Martinovic, “Attacking speaker recognition systems with phoneme morphing,” in
2019
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N. Tomashenko, B. M. L. Srivastava, X. Wang, E. Vincent, A. Nautsch, J. Yamagishi, N. Evans, J. Patino, J.-F. Bonastre, P.-G. Noé, and M. Todisco, “The VoicePrivacy 2020 Challenge evaluation plan,” 2020. [Online]. Available:
2020
Closest in time.
N. Tomashenko, B. M. L. Srivastava, X. Wang, E. Vincent, A. Nautsch, J. Yamagishi, N. Evans, J. Patino, J.-F. Bonastre, P.-G. Noé, and M. Todisco, “Introducing the VoicePrivacy initiative,” 2020
2020
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