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Privacy-Preserving Speech Representation Learning using Vector Quantization., , and . CoRR, (2022)The VoicePrivacy 2022 Challenge Evaluation Plan., , , , , , , , , and . CoRR, (2022)Evaluating X-Vector-Based Speaker Anonymization Under White-Box Assessment., , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 100-111. Springer, (2021)Are disentangled representations all you need to build speaker anonymization systems?, , and . INTERSPEECH, page 2793-2797. ISCA, (2022)On the invertibility of a voice privacy system using embedding alignement., , , , and . CoRR, (2021)A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender., , and . CoRR, (2021)Evaluation of Speaker Anonymization on Emotional Speech., , , , and . CoRR, (2023)Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques.. CoRR, (2023)On the Invertibility of a Voice Privacy System Using Embedding Alignment., , , , and . ASRU, page 191-197. IEEE, (2021)Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques. (Anonymisation de la parole: évaluation et conception de techniques d'anonymisation du locuteur).. University of Lorraine, Nancy, France, (2023)