Zobrazeno 1 - 10
of 526
pro vyhledávání: '"Teixeira, Francisco"'
Autor:
Teixeira, Francisco, Pizzi, Karla, Olivier, Raphael, Abad, Alberto, Raj, Bhiksha, Trancoso, Isabel
Membership Inference (MI) poses a substantial privacy threat to the training data of Automatic Speech Recognition (ASR) systems, while also offering an opportunity to audit these models with regard to user data. This paper explores the effectiveness
Externí odkaz:
http://arxiv.org/abs/2405.01207
Publikováno v:
IEEE Access, vol. 12, pp. 82949-82971, 2024
Speaker embeddings are ubiquitous, with applications ranging from speaker recognition and diarization to speech synthesis and voice anonymisation. The amount of information held by these embeddings lends them versatility, but also raises privacy conc
Externí odkaz:
http://arxiv.org/abs/2310.06652
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. In fact, in remote settings, where recordings are shared with a
Externí odkaz:
http://arxiv.org/abs/2210.14995
Publikováno v:
Proc. Interspeech 2022, 2798-2802
The development of privacy-preserving automatic speaker verification systems has been the focus of a number of studies with the intent of allowing users to authenticate themselves without risking the privacy of their voice. However, current privacy-p
Externí odkaz:
http://arxiv.org/abs/2206.11750
Mestrado Integrado em Medicina Dentária
Master Degree in Dental Medicine
Master Degree in Dental Medicine
Externí odkaz:
http://hdl.handle.net/10216/63741
Autor:
Shamsabadi, Ali Shahin, Teixeira, Francisco Sepúlveda, Abad, Alberto, Raj, Bhiksha, Cavallaro, Andrea, Trancoso, Isabel
Speaker identification models are vulnerable to carefully designed adversarial perturbations of their input signals that induce misclassification. In this work, we propose a white-box steganography-inspired adversarial attack that generates impercept
Externí odkaz:
http://arxiv.org/abs/2011.08483
Autor:
Annes Pereira, Ingrid1 ingridannes@gmail.com, Martins Teixeira, Francisco1, Maria Finger, Regina1, de Azevedo Souza, Mariana1
Publikováno v:
Revista de Ciencias Agroveterinarias. 2024, Vol. 23 Issue 2, p282-290. 9p.
The potential of speech as a non-invasive biomarker to assess a speaker's health has been repeatedly supported by the results of multiple works, for both physical and psychological conditions. Traditional systems for speech-based disease classificati
Externí odkaz:
http://arxiv.org/abs/2003.00864