Recent advances in language and speaker recognition: Gaussian Super Vectors and compensation methods
L2F and TALP –
A considerable amount of promising methods for language and speaker recognition have been proposed in the most recent NIST language (LRE) and speaker (SRE) recognition evaluation workshops.
One of the most widely accepted approaches consists of combining both Gaussian mixture models (GMM) and Support Vector Machines (SVM). A classical GMM-UBM (Universal Background Model) approach is used to obtain an adapted model for each training utterance. Then, Gaussian means of these adapted models are stacked in a super-vector form to train a SVM for each different target language or client speaker. During identification, super-vectors are extracted from a model adapted to the test utterance and used to obtain a classification with the SVMs previously trained. This approach is generally known as Gaussian Super Vectors (GSV). In addition to the GSV approach, most recent efforts have been devoted to the problem of compensation to different sources of variability such as session, channel, speaker, and so on. Two of the most outstanding compensation methods are the Nuisance Attribute Projection (NAP) and the Joint Factor Analysis (JFA).
In this talk, we are going to explain the conventional GMM-UBM approach and how it is related to the GSV method. A detailed explanation of the GSV method and some variations of it will be presented. We will also introduce some of the most recent compensation methods mentioned above. Experimental results on LRE and SRE corpora will be enclosed to better characterize the techniques presented.
Date: 2010-Jan-22 Time: 15:00:00 Room: 336
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.