ASCLCRApr 3, 2024

The VoicePrivacy 2024 Challenge Evaluation Plan

arXiv:2404.02677v276 citationsh-index: 44
AI Analysis

This addresses privacy concerns in speech data for researchers and practitioners, but is incremental as it builds on previous challenges.

The paper outlines the VoicePrivacy 2024 Challenge, which tasks participants with developing voice anonymization systems to conceal speaker identity while preserving linguistic content and emotional states, with results to be presented at an Interspeech 2024 workshop.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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