Sharing real-world speech utterances is key to the training and deployment of voice-based services. However, it also raises privacy risks as contains a wealth personal data. Speaker anonymization aims remove speaker information from utterance while leaving its linguistic prosodic attributes intact. State-of-the-art techniques operate by disentangling (represented via embedding) these re-synthes...