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Found 10 papers, 2 papers with code
a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification
Spoofing detection is today a mainstream research topic.
Thech. Report: Genuinization of Speech waveform PMF for speaker detection spoofing and countermeasures
In this article, we propose an algorithm, denoted genuinization, capable of reducing the waveform distribution gap between authentic speech and spoofing speech.
Revisiting Speech Content Privacy
In this paper, we discuss an important aspect of speech privacy: protecting spoken content.
1990-2020 : retours sur 30 ans d'\'echanges autour de l'identification de voix en milieu judiciaire (1990-2020: A look back at 30 years of discussions on voice identification in the judicial system)
La justice demande {\`a} ce que des expertises en identification de voix soient r{\'e}alis{\'e}es alors que dans le m{\^e}me temps, la pertinence scientifique de telles expertises est fortement mise en cause par les scientifiques.
PTSVOX : une base de donn\'ees pour la comparaison de voix dans le cadre judiciaire (PTSVOX : a Speech Database for Forensic Voice Comparison )
PTSVOX a {\'e}t{\'e} con{\c{c}}ue pour mesurer l{'}influence de diff{\'e}rents facteurs de variabilit{\'e} fr{\'e}quemment rencontr{\'e}s dans les cas pratiques en identification judiciaire, comme le type de parole, le temps {\'e}coul{\'e} et le mat{\'e}riel d{'}enregistrement.
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment
Mounting privacy legislation calls for the preservation of privacy in speech technology, though solutions are gravely lacking.
Cryptography and Security Audio and Speech Processing
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Spoofing attacks within a logical access (LA) scenario are generated with the latest speech synthesis and voice conversion technologies, including state-of-the-art neural acoustic and waveform model techniques.
Speaker Anonymization Using X-vector and Neural Waveform Models
One solution to mitigate these concerns involves the concealing of speaker identities before the sharing of speech data.
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE).
