Background Integration of speech into healthcare has intensified privacy concerns due to its
potential as a non-invasive biomarker containing individual biometric information. In …

State-of-the-art approaches to speaker anonymization typically employ some form of
perturbation function to conceal speaker information contained within an x-vector …

The First VoicePrivacy Attacker Challenge is a new kind of challenge organized as part of
the VoicePrivacy initiative and supported by ICASSP 2025 as the SP Grand Challenge It …

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 …

Speech is a crucial source of personal information, and the risk of attackers using such
information increases day by day. Speaker privacy protection is crucial, and various …

Integration of speech into healthcare has intensified privacy concerns due to its potential as
a non-invasive biomarker containing individual biometric information. In response, speaker …

In this paper, we propose a framework for evaluating the robustness of speech
pseudonymization methods. Among privacy-protecting methods, signal processing-based …

The advancements in automatic speaker recognition have led to the exploration of voice
data for verification systems. This raises concerns about the security of storing voice …

La protection des données personnelles est un devoir éthique et légal en Europe. Les
systèmes d'authentification biométriques sont naturellement concernés: ils utilisent des …

論文抄録 本研究では, 音声データのプライバシー保護法の一つである信号処理を用いた音声仮名
化の復号攻撃に対するロバスト性評価について報告する. 音声仮名化とは, 音声データから本来の …