The VoicePrivacy 2022 Challenge: Progress and perspectives in voice anonymisation

M Panariello, N Tomashenko, X Wang… - … on Audio, Speech …, 2024 - ieeexplore.ieee.org
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 internet of sounds: Convergent trends, insights, and future directions

L Turchet, M Lagrange, C Rottondi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …

Personal voice assistant security and privacy—a survey

P Cheng, U Roedig - Proceedings of the IEEE, 2022 - ieeexplore.ieee.org
Personal voice assistants (PVAs) are increasingly used as interfaces to digital environments.
Voice commands are used to interact with phones, smart homes, or cars. In the United …

The VoicePrivacy 2024 Challenge Evaluation Plan

N Tomashenko, X Miao, P Champion, S Meyer… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

Speaker anonymisation using the McAdams coefficient

J Patino, N Tomashenko, M Todisco, A Nautsch… - arxiv preprint arxiv …, 2020 - arxiv.org
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 …

[HTML][HTML] X-vector anonymization using autoencoders and adversarial training for preserving speech privacy

JM Perero-Codosero, FM Espinoza-Cuadros… - Computer speech & …, 2022 - Elsevier
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 …

Design choices for x-vector based speaker anonymization

BML Srivastava, N Tomashenko, X Wang… - arxiv preprint arxiv …, 2020 - arxiv.org
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 …

Differentially private speaker anonymization

AS Shamsabadi, BML Srivastava, A Bellet… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

Anonymizing speech with generative adversarial networks to preserve speaker privacy

S Meyer, P Tilli, P Denisov, F Lux… - 2022 IEEE Spoken …, 2023 - ieeexplore.ieee.org
In order to protect the privacy of speech data, speaker anonymization aims for hiding the
identity of a speaker by changing the voice in speech recordings. This typically comes with a …

Speaker anonymization with phonetic intermediate representations

S Meyer, F Lux, P Denisov, J Koch, P Tilli… - arxiv preprint arxiv …, 2022 - arxiv.org
In this work, we propose a speaker anonymization pipeline that leverages high quality
automatic speech recognition and synthesis systems to generate speech conditioned on …