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Found 8 papers, 3 papers with code
Toroidal Probabilistic Spherical Discriminant Analysis
It extends PSDA with the ability to model within and between-speaker variabilities in toroidal submanifolds of the hypersphere.
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings
In speaker recognition, where speech segments are mapped to embeddings on the unit hypersphere, two scoring backends are commonly used, namely cosine scoring or PLDA.
The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description
We describe the Phonexia submission for the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-21) in the unsupervised speaker verification track.
Out of a hundred trials, how many errors does your speaker verifier make?
For perfect calibration, the Bayes error-rate is upper bounded by min(EER, P, 1-P), where EER is the equal-error-rate and P, 1-P are the prior probabilities of the competing hypotheses.
Language-depedent I-Vectors for LRE15
A standard recipe for spoken language recognition is to apply a Gaussian back-end to i-vectors.
A Generative Model for Score Normalization in Speaker Recognition
We propose a theoretical framework for thinking about score normalization, which confirms that normalization is not needed under (admittedly fragile) ideal conditions.
Bayesian calibration for forensic evidence reporting
We introduce a Bayesian solution for the problem in forensic speaker recognition, where there may be very little background material for estimating score calibration parameters.
A comparison of linear and non-linear calibrations for speaker recognition
In recent work on both generative and discriminative score to log-likelihood-ratio calibration, it was shown that linear transforms give good accuracy only for a limited range of operating points.
