The RSR2015 database, designed to evaluate text-dependent speaker verification systems
under different durations and lexical constraints has been collected and released by the …

ALIZE is an open-source platform for speaker recognition. The ALIZE library implements a
low-level statistical engine based on the well-known Gaussian mixture modelling. The toolkit …

SIDEKIT is a new open-source Python toolkit that includes a large panel of state-of-the-art
components and allow a rapid prototy** of an end-to-end speaker recognition system. For …

Current speaker recognition systems, that are learned by using wide training datasets and
include sophisticated modelings, turn out to be very specific, providing sometimes …

It is well known that state-of-the-art speaker verification systems using the i-vector concept
perform well when target speakers training and test utterances have the same condition …

This paper investigates the effect of utterance duration to the calibration of a modern i-vector
speaker recognition system with probabilistic linear discriminant analysis (PLDA) modeling …

I4U is a joint entry of nine research Institutes and Universities across 4 continents to NIST
SRE 2012. It started with a brief discussion during the Odyssey 2012 workshop in …

The importance of phonetic variability for short duration speaker verification is widely
acknowledged. This paper assesses the performance of Probabilistic Linear Discriminant …

The classical i-vectors and the latest end-to-end deep speaker embeddings are the two
representative categories of utterance-level representations in automatic speaker …

Many authentication applications involving automatic speaker verification (ASV) demand
robust performance using short-duration, fixed or prompted text utterances. Text constraints …