no code implementations • 10 Oct 2023 • Francisco Teixeira, Alberto Abad, Bhiksha Raj, Isabel Trancoso
Speaker embeddings are ubiquitous, with applications ranging from speaker recognition and diarization to speech synthesis and voice anonymisation.
no code implementations • 26 Oct 2022 • Francisco Teixeira, Alberto Abad, Bhiksha Raj, Isabel Trancoso
Automatic Speaker Diarization (ASD) is an enabling technology with numerous applications, which deals with recordings of multiple speakers, raising special concerns in terms of privacy.
no code implementations • 23 Jun 2022 • Francisco Teixeira, Alberto Abad, Bhiksha Raj, Isabel Trancoso
This poses two important issues: first, knowledge of the speaker embedding extraction model may create security and robustness liabilities for the authentication system, as this knowledge might help attackers in crafting adversarial examples able to mislead the system; second, from the point of view of a service provider the speaker embedding extraction model is arguably one of the most valuable components in the system and, as such, disclosing it would be highly undesirable.
no code implementations • 2 Mar 2020 • Catarina Botelho, Francisco Teixeira, Thomas Rolland, Alberto Abad, Isabel Trancoso
We test our approach against knowledge-based features and i-vectors, and report results for two European Portuguese corpora, for OSA and PD, as well as for an additional Spanish corpus for PD.