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This paper presents the NWPU-ASLP speaker anonymization system for VoicePrivacy 2022 Challenge.
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F. Fang, X. Wang, J. Yamagishi, I. Echizen, M. Todisco, N. Evans, and J.-F. Bonastre, “Speaker anonymization using x-vector and neural waveform models,” in
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P. Gupta, G. P. Prajapati, S. Singh, M. R. Kamble, and H. A. Patil, “Design of voice privacy system using linear prediction,” in
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2020
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C. Mawalim, K. Galajit, J. Karnjana, and M. Unoki, “X-vector singular value modification and statistical-based decomposition with ensemble regression modeling for speaker anonymization system,” in
2020
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P. Champion, D. Jouvet, and A. Larcher, “A study of f0 modification for x-vector based speech pseudo-anonymization across gender,” in
2020
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J. Kong, J. Kim, and J. Bae, “Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,”
2020
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H.-S. Choi, J. Lee, W. Kim, J. Lee, H. Heo, and K. Lee, “Neural analysis and synthesis: Reconstructing speech from self-supervised representations,”
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2020
Cited alongside, same era.
N. Tomashenko, B. M. Srivastava, X. Wang, E. Vincent, A. Nautsch, J. Yamagishi, N. Evans, J. Patino, J.-F. Bonastre, P.-G. Noé
2020
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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
2020
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L. Ardaillon and A. Roebel, “Gci detection from raw speech using a fully-convolutional network,” in
2020
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2021
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2022
Closest in time.
N. Tomashenko, X. Wang, E. Vincent, J. Patino, B. M. L. Srivastava, P.-G. Noé, A. Nautsch, N. Evans, J. Yamagishi, B. O’Brien
2022
Closest in time.