7 papers
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…
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…