Anonymizing speech: Evaluating and designing speaker anonymization techniques

P Champion - arxiv preprint arxiv:2308.04455, 2023 - arxiv.org
The growing use of voice user interfaces has led to a surge in the collection and storage of
speech data. While data collection allows for the development of efficient tools powering …

Zero-shot voice conversion based on feature disentanglement

N Guo, J Wei, Y Li, W Lu, J Tao - Speech Communication, 2024 - Elsevier
Voice conversion (VC) aims to convert the voice from a source speaker to a target speaker
without modifying the linguistic content. Zero-shot voice conversion has attracted significant …

Perturbation autovc: Voice conversion from perturbation and autoencoder loss

HY Park, YH Lee, C Chun - IEEE Access, 2023 - ieeexplore.ieee.org
AUTOVC is a voice-conversion method that performs self-reconstruction using an
autoencoder structure for zero-shot voice conversion. AUTOVC has the advantage of being …

A speech representation anonymization framework via selective noise perturbation

M Tran, M Soleymani - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
Privacy and security are major concerns when communicating speech signals to cloud
services such as automatic speech recognition (ASR) and speech emotion recognition …

[PDF][PDF] Why Eli Roth should not use TTS-systems for anonymization

Y Sinha, J Hintz, M Busch, T Polzehl… - Proceedings of the …, 2022 - isca-archive.org
This paper evaluates the impact of using TTS-based speaker anonymization with objective
and subjective methods. A pretrained automatic speaker verification (ASV) VGGVox model …

[PDF][PDF] Evaluation of speaker de-identification based on voice gender and age conversion

J Přibil, A Přibilová, J Matoušek - Journal of Electrical Engineering, 2018 - sciendo.com
Two basic tasks are covered in this paper. The first one consists in the design and practical
testing of a new method for voice de-identification that changes the apparent age and/or …

Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization

N Tomashenko, E Vincent, M Tommasi - arxiv preprint arxiv:2412.17164, 2024 - arxiv.org
In this paper, we investigate the impact of speech temporal dynamics in application to
automatic speaker verification and speaker voice anonymization tasks. We propose several …

Differential privacy for sequential and directional data

B Weggenmann - 2023 - elib.uni-stuttgart.de
This dissertation is concerned with mechanisms to protect the privacy of individuals in
special types of data that are sequential or directional in nature. Importantly, sequential data …

Voice Privacy Using Time-Scale and Pitch Modification

DK Singh, GP Prajapati, HA Patil - SN Computer Science, 2024 - Springer
There is a growing demand toward digitization of various day-to-day work and hence, there
is a surge in use of Intelligent Personal Assistants. The extensive use of these smart digital …

Expressive Voice Conversion Using Perturbation and Autoencoder Loss

Z Chen, Y Liu, G Liu - 2024 IEEE 12th International Conference …, 2024 - ieeexplore.ieee.org
Expressive voice conversion is to transform voice speech with emotional expression.
Modeling emotional styles in expressive voice conversion is challenging. It is essential to …