The Voice Privacy 2024 Challenge Evaluation Plan

Natalia Tomashenko (1) , Xiaoxiao Miao (2) , Pierre Champion (1) , Sarina Meyer (3) , Xin Wang (4) , Emmanuel Vincent (1) , Michele Panariello (5) , Nicholas Evans (5) , Junichi Yamagishi (4) , Massimiliano Todisco (5)

1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
2 SIT - Singapore Institute of Technology [Singapore]
3 University of Stuttgart
4 NII - National Institute of Informatics
5 Eurecom [Sophia Antipolis]

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. The organizers provide development and evaluation datasets and evaluation scripts, as well as baseline anonymization systems and a list of training resources formed on the basis of the participants' requests. Participants apply their developed anonymization systems, run evaluation scripts and submit evaluation results and anonymized speech data to the organizers. Results will be presented at a workshop held in conjunction with Interspeech 2024 to which all participants are invited to present their challenge systems and to submit additional workshop papers.

Keywords: voice anonymization; speaker characterization; emotion recognition; speech recognition; privacy

Domains: Computer Science [cs]

Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion, Sarina Meyer, Xin Wang, et al.. The Voice Privacy 2024 Challenge Evaluation Plan. 4th Symposium on Security and Privacy in Speech Communication 2024, Sep 2024, Kos Island, Greece. ⟨hal-04531444⟩