The VoicePrivacy Challenge promotes the development of voice anonymisation solutions for
speech technology. In this paper we present a systematic overview and analysis of the …

The task of the challenge is to develop a voice anonymization system for speech data which
conceals the speaker's voice identity while protecting linguistic content and emotional states …

Sharing real-world speech utterances is key to the training and deployment of voice-based
services. However, it also raises privacy risks as speech contains a wealth of personal data …

Smart devices serviced by large-scale AI models necessitates user data transfer to the cloud
for inference. For speech applications, this means transferring private user information, eg …

Low-frequency audio has been proposed as a promising privacy-preserving modality to
study social dynamics in real-world settings. To this end, researchers have developed …

Speech technology for communication, accessing information and services has rapidly
improved in quality. It is convenient and appealing because speech is the primary mode of …

Privacy-enhancing technologies (PETs) provide technical building blocks for achieving
privacy by design and can be defined as technologies that embody fundamental data …