Speaker Identification (SI) is the process of identifying the speaker from a given utterance by
comparing the voice biometrics of the utterance with those utterance models stored …

Biometric recognition technology has made significant advances over the last decade and is
now used across a number of services and applications. However, this widespread …

The VoicePrivacy initiative aims to promote the development of privacy preservation tools for
speech technology by gathering a new community to define the tasks of interest and the …

Privacy is one of the most important social and political issues in our information society,
characterized by a growing range of enabling and supporting technologies and services …

The social media revolution has produced a plethora of web services to which users can
easily upload and share multimedia documents. Despite the popularity and convenience of …

Anonymisation has the goal of manipulating speech signals in order to degrade the
reliability of automatic approaches to speaker recognition, while preserving other aspects of …

Speech data conveys sensitive speaker attributes like identity or accent. With a small
amount of found data, such attributes can be inferred and exploited for malicious purposes …

This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …

The rapid increase in web services and mobile apps, which collect personal data from users,
has also increased the risk that their privacy may be severely compromised. In particular, the …

The recently proposed x-vector based anonymization scheme converts any input voice into
that of a random pseudo-speaker. In this paper, we present a flexible pseudo-speaker …