2 citations · 5 across the 21 of their papers we have counts for
10 papers · 1 filter
Preemptive defense against re-identification attacks on voice anonymization via adversarial perturbation
Michele Panariello, Yibo Bai, Massimiliano Todisco +1
Voice anonymization (VA) is used to conceal the voice identities in speech data. Performance is usually estimated using automatic speaker verification (ASV) as a proxy to judge the…
Multi-sample Synthetic Supervision for Accent Conversion
Yangyang Qu, Michele Panariello, Massimiliano Todisco +1
Accent conversion (AC) requires changing accent while preserving speaker identity and linguistic content, yet parallel recordings are scarce. Speech synthesis provides an alternati…
Shared-State Local Translations for Training-Free Voice Conversion
Yangyang Qu, Michele Panariello, Massimiliano Todisco +1
In one-shot training-free voice conversion (VC), the source and reference utterances may contain different linguistic content, so reliable frame-level correspondence between them c…
Partial Accent-Control Editing in Frozen Speech Representations for Accent Conversion
Yangyang Qu, Michele Panariello, Massimiliano Todisco +1
Accent conversion is the task of modifying a speech recording so that it sounds closer to a target accent while preserving linguistic content and other speaker-related characterist…
Why Do You Say It Like That? A Phoneme-level Framework for Explainable Speech Deepfake Detection
Anna Taylor, Michele Panariello, Massimiliano Todisco +3
As the accuracy of speech deepfake detection improves with the use of self-supervised representations such as wav2vec 2.0 and HuBERT, understanding why the speech is classified as…
Positive-Incentive Noise Predictor for Adversarial Purification in Speaker Verification
Yibo Bai, Sizhou Chen, Michele Panariello +5
Modern automatic speaker verification (ASV) systems are vulnerable to adversarial perturbations. Diffusion-based purification has recently shown strong effectiveness against such p…
Latent Secret Spin: Keyed Orthogonal Rotations for Blind Speech Watermarking in Anisotropic Latent Spaces
Emma Coletta, Massimiliano Todisco, Michele Panariello +2
We introduce Latent Secret Spin (LSS), a blind speech watermarking method based on geometric operations in codec latent space. Based upon orthogonal rotations to principal componen…
Evaluating voice anonymisation using similarity rank disclosure
Shilpa Chandra, Matteo Pettenò, Nicholas Evans +7
The evaluation of voice anonymisation remains challenging. Current practice relies on automatic speaker verification metrics such as the equal error rate (EER). Performance estimat…
Identity leakage through accent cues in voice anonymisation
Rayane Bakari, Olivier Le Blouch, Nicolas Gengembre +2
Voice anonymisation is used to conceal voice identity while preserving linguistic content. Even if anonymisation seems strong, non-timbral cues such as accent that remain post-anon…
The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization
Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion +7
We present results and analyses from the third VoicePrivacy Challenge held in 2024, which focuses on advancing voice anonymization technologies. The task was to develop a voice ano…