Search Results for author: Francisco Teixeira

Found 4 papers, 0 papers with code

Privacy-oriented manipulation of speaker representations

no code implementations10 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.

Speaker Recognition Speech Synthesis

Privacy-preserving Automatic Speaker Diarization

no code implementations26 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.

Privacy Preserving speaker-diarization +1

Towards End-to-End Private Automatic Speaker Recognition

no code implementations23 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.

Privacy Preserving Speaker Recognition +1

Pathological speech detection using x-vector embeddings

no code implementations2 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.

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