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10/27/2022
Toroidal Probabilistic Spherical Discriminant Analysis
In speaker recognition, where speech segments are mapped to embeddings o...
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03/28/2022
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings
In speaker recognition, where speech segments are mapped to embeddings o...
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09/15/2021
How to use KL-divergence to construct conjugate priors, with well-defined non-informative limits, for the multivariate Gaussian
The Wishart distribution is the standard conjugate prior for the precisi...
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09/05/2021
The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description
We describe the Phonexia submission for the VoxCeleb Speaker Recognition...
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04/01/2021
Out of a hundred trials, how many errors does your speaker verifier make?
Out of a hundred trials, how many errors does your speaker verifier make...
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02/02/2021
A Speaker Verification Backend with Robust Performance across Conditions
In this paper, we address the problem of speaker verification in conditi...
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04/06/2020
Probabilistic embeddings for speaker diarization
Speaker embeddings (x-vectors) extracted from very short segments of spe...
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06/19/2019
Large-Scale Speaker Diarization of Radio Broadcast Archives
This paper describes our initial efforts to build a large-scale speaker ...
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03/24/2018
Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors
The standard state-of-the-art backend for text-independent speaker recog...
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02/27/2018
Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model
Embeddings in machine learning are low-dimensional representations of co...
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09/29/2017
Language-depedent I-Vectors for LRE15
A standard recipe for spoken language recognition is to apply a Gaussian...
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09/28/2017
A Generative Model for Score Normalization in Speaker Recognition
We propose a theoretical framework for thinking about score normalizatio...
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03/08/2016
Note on the equivalence of hierarchical variational models and auxiliary deep generative models
This note compares two recently published machine learning methods for c...
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10/12/2015
VB calibration to improve the interface between phone recognizer and i-vector extractor
The EM training algorithm of the classical i-vector extractor is often i...
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03/26/2014
Constrained speaker linking
In this paper we study speaker linking (a.k.a. partitioning) given const...
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03/24/2014
Bayesian calibration for forensic evidence reporting
We introduce a Bayesian solution for the problem in forensic speaker rec...
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02/11/2014
A comparison of linear and non-linear calibrations for speaker recognition
In recent work on both generative and discriminative score to log-likeli...
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01/24/2014
The EM algorithm and the Laplace Approximation
The Laplace approximation calls for the computation of second derivative...
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07/30/2013
Likelihood-ratio calibration using prior-weighted proper scoring rules
Prior-weighted logistic regression has become a standard tool for calibr...
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07/23/2013
Generative, Fully Bayesian, Gaussian, Openset Pattern Classifier
This report works out the details of a closed-form, fully Bayesian, mult...
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04/10/2013
The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF
The change of two orders of magnitude in the 'new DCF' of NIST's SRE'10,...
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04/08/2013