1 citations · 1 across the 10 of their papers we have counts for
11 papers
Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
Self-supervised learning (SSL) countermeasures (CMs) have shown strong performance in recent years. However, they often show degraded performance while facing unseen spoofing attac…
Doubly Stochastic Mean-Shift Clustering
Tom Trigano, Yann Sepulcre, Itshak Lapidot
Standard Mean-Shift algorithms are notoriously sensitive to the bandwidth hyperparameter, particularly in data-scarce regimes where fixed-scale density estimation leads to fragment…
ELEAT-SAGA: Early & Late Integration with Evading Alternating Training for Spoof-Robust Speaker Verification
Amro Asali, Yehuda Ben-Shimol, Itshak Lapidot
Spoofing-robust automatic speaker verification (SASV) seeks to build automatic speaker verification systems that are robust against both zero-effort impostor attacks and sophistica…
Stochastic Mean-Shift Clustering
Itshak Lapidot, Yann Sepulcre, Tom Trigano
We present a stochastic version of the mean-shift clustering algorithm. In this stochastic version a randomly chosen sequence of data points move according to partial gradient asce…
ASVspoof2019 vs. ASVspoof5: Assessment and Comparison
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
ASVspoof challenges are designed to advance the understanding of spoofing speech attacks and encourage the development of robust countermeasure systems. These challenges provide a…
ATMM-SAGA: Alternating Training for Multi-Module with Score-Aware Gated Attention SASV system
Amro Asali, Yehuda Ben-Shimol, Itshak Lapidot
The objective of automatic speaker verification (ASV) systems is to determine whether a given test speech utterance corresponds to a claimed enrolled speaker. These systems have a…
Tandem spoofing-robust automatic speaker verification based on time-domain embeddings
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
Spoofing-robust automatic speaker verification (SASV) systems are a crucial technology for the protection against spoofed speech. In this study, we focus on logical access attacks…
a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification
Hye-jin Shim, Jee-weon Jung, Tomi Kinnunen +3
Spoofing detection is today a mainstream research topic. Standard metrics can be applied to evaluate the performance of isolated spoofing detection solutions and others have been p…
Stochastic mean-shift clustering
Itshak Lapidot
In this paper we presented a stochastic version mean-shift clustering algorithm. In the stochastic version the data points "climb" to the modes of the distribution collectively, wh…
Thech. Report: Genuinization of Speech waveform PMF for speaker detection spoofing and countermeasures
Itshak Lapidot, Jean-Francois Bonastre
In the context of spoofing attacks in speaker recognition systems, we observed that the waveform probability mass function (PMF) of genuine speech differs significantly from the PM…
Time-Domain Based Embeddings for Spoofed Audio Representation
Matan Karo, Arie Yeredor, Itshak Lapidot
Anti-spoofing is the task of speech authentication. That is, identifying genuine human speech compared to spoofed speech. The main focus of this paper is to suggest new representat…