Speaker diarization is a task to label audio or video recordings with classes that correspond
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …

While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

Concerns regarding the vulnerability of automatic speaker verification (ASV) technology
against spoofing can undermine confidence in its reliability and form a barrier to exploitation …

This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …

We propose a new approach to the problem of estimating the hyperparameters which define
the interspeaker variability model in joint factor analysis. We tested the proposed estimation …

This paper describes the Microsoft speaker diarization system for monaural multi-talker
recordings in the wild, evaluated at the diarization track of the VoxCeleb Speaker …

Biometric systems are exposed to spoofing attacks which may compromise their security,
and voice biometrics based on automatic speaker verification (ASV), is no exception. To …

In this work, we analyze the cross-entropy function, widely used in classifiers both as a
performance measure and as an optimization objective. We contextualize cross-entropy in …

Logistic-regression calibration and fusion are potential steps in the calculation of forensic
likelihood ratios. The present paper provides a tutorial on logistic-regression calibration and …

This tutorial presents an overview of the progression of spoken language identification (LID)
systems and current developments. The introduction provides a background on automatic …