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 A Review of Speech-centric Trustworthy Machine Learning: Privacy,
Safety, and FairnessAPSIPA Transactions on Signal and Information Processing (TASIP), 2022 |
 Anonymizing Speech with Generative Adversarial Networks to Preserve
Speaker PrivacySpoken Language Technology Workshop (SLT), 2022 |
 Are disentangled representations all you need to build speaker
anonymization systems?Interspeech (Interspeech), 2022 |
 Improving Security in McAdams Coefficient-Based Speaker Anonymization by
Watermarking MethodAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021 |
 Speaker anonymisation using the McAdams coefficientInterspeech (Interspeech), 2020 |
 Speech Pseudonymisation Assessment Using Voice Similarity MatricesInterspeech (Interspeech), 2020 |
