Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy
Author:
Affiliation:
1. Institute for Natural Language Processing (IMS), University of Stuttgart,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10022052/10022330/10022601.pdf?arnumber=10022601
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3. VoiceMask: Anonymize and Sanitize Voice Input on Mobile Devices;qian;CoRR,2017
4. The IMS Toucan system for the Blizzard Challenge 2021;lux;Proc Blizzard Challenge Workshop,2021
5. Lightweight and irreversible speech pseudonymization based on data-driven optimization of cascaded voice modification modules
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. VoicePAT: An Efficient Open-Source Evaluation Toolkit for Voice Privacy Research;IEEE Open Journal of Signal Processing;2024
2. Speaker Anonymization Using Orthogonal Householder Neural Network;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023
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