activity
20182023
most citedASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

175 citations · 832 across the 44 of their papers we have counts for

collaborators

49 papers

eess.AS2023

Fairness and Privacy in Voice Biometrics:A Study of Gender Influences Using wav2vec 2.0

Oubaida Chouchane, Michele Panariello, Chiara Galdi +2

This study investigates the impact of gender information on utility, privacy, and fairness in voice biometric systems, guided by the General Data Protection Regulation (GDPR) manda…

eess.AS2023★ 1 cited

Vocoder drift compensation by x-vector alignment in speaker anonymisation

Michele Panariello, Massimiliano Todisco, Nicholas Evans

For the most popular x-vector-based approaches to speaker anonymisation, the bulk of the anonymisation can stem from vocoding rather than from the core anonymisation function which…

eess.AS2023★ 1 cited

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

Michele Panariello, Wanying Ge, Hemlata Tak +2

We present Malafide, a universal adversarial attack against automatic speaker verification (ASV) spoofing countermeasures (CMs). By introducing convolutional noise using an optimis…

eess.AS2023★ 2 cited

Vocoder drift in x-vector-based speaker anonymization

Michele Panariello, Massimiliano Todisco, Nicholas Evans

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

eess.AS2023

Towards single integrated spoofing-aware speaker verification embeddings

Sung Hwan Mun, Hye-jin Shim, Hemlata Tak +12

This study aims to develop a single integrated spoofing-aware speaker verification (SASV) embeddings that satisfy two aspects. First, rejecting non-target speakers' input as well a…

cs.SD2023★ 1 cited

Range-Based Equal Error Rate for Spoof Localization

Lin Zhang, Xin Wang, Erica Cooper +2

Spoof localization, also called segment-level detection, is a crucial task that aims to locate spoofs in partially spoofed audio. The equal error rate (EER) is widely used to measu…