Rodrigo Capobianco Guido

• Abstract

  Once speech acoustically changes in an involuntary manner, the speaker is stricken by an organic, functional or organic-functional dysphonia. Consequently, their individual acoustic identification, not only by humans but mainly by machines, mighty be at risk. Considering this is an almost unexplored topic, the intention is to investigate how dysphonies affect biometric speaker verificatio…

  Improving biometric voice authentication systems: robustness in facing short-term dysphonies, AP.R
• XXIX SEMAC - Computer Studies Week 2019, AO.R

• Abstract

  According to recent experiments, a playback speech signal or a text-to-speech synthesis based on data collected from a speaker, among other possibilities, suffices to authenticate the subject. Consequently, current systems for biometric speaker identification (BSV) are still vulnerable. Considering this to be an open problem in the field of speech processing, for which much work is requir…

  Paraconsistent Feature Analysis of Speech Signals: fighting the voice spoofing attacks, AP.R

(Only some records are available in English at this moment)

• Abstract

  Involuntary and acoustically perceptible speech issues, known as dysphonia, may impair biometric speech authentication. Thus, due to the innovative nature of such a theme and aiming to support the FAPESP regular research project entitled ``Improving Biometric Voice Authentication Systems: Robustness in Facing Short-TermDysphonies'', the intention of this scientific initiation project is t…

  Impact of Short-Term Dysphonia on Biometric Voice Authentication, BP.IC

• Abstract

  Voice-based authentication systems have been increasingly used due to their simplicity in relation to the necessary equipment and their versatility, as any smartphone can be used to remotely authenticate an individual. However, this type of system is vulnerable to spoofing attacks, since an impostor can use a recorded voice to be properly authenticated as an authentic user, which is known…

  Deep neural networks and deep feature selection for spoofing detection in voice authentication systems, BP.PD
• Improving Biometric Voice Authentication Systems: Robustness in Facing Short-Term Dysphonies, BP.TT

(Only some records are available in English at this moment)