8 papers
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…
Phoneme-Aware Pronunciation Representations for L2-English L1-Background Accent Identification
Yangyang Qu, Massimiliano Todisco, Nicholas Evans
We study speaker-disjoint accent identification for L2 English, where the goal is to predict a speaker's first-language (L1) background from English pronunciation. Most existing sy…
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…
Robust Accent Identification via Voice Conversion and Non-Timbral Embeddings
Rayane Bakari, Olivier Le Blouch, Nicolas Gengembre +1
Automatic accent identification (AID) remains a challenging task due to the complex variability of accents, the entanglement of accent cues with speaker traits, and the scarcity of…
Fair-Gate: Fairness-Aware Interpretable Risk Gating for Sex-Fair Voice Biometrics
Yangyang Qu, Massimiliano Todisco, Chiara Galdi +1
Voice biometric systems can exhibit sex-related performance gaps even when overall verification accuracy is strong. We attribute these gaps to two practical mechanisms: (i) demogra…
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…