HPV16 (human papillomavirus type 16) is a 7.9 kb double-stranded DNA virus that infects anogenital mucosal epithelia. In some rare cases, in women, infection can progress to cervical cancer. HPV16 gene expression is regulated through use of multiple promoters and alternative splicing and polyadenylation. The virus genome can be divided into an early and a late coding region. The late coding reg...

In this work, we present a comprehensive study on the use of deep neural networks (DNNs) for automatic language identification (LID). Motivated by the recent success of using DNNs in acoustic modeling for speech recognition, we adapt DNNs to the problem of identifying the language in a given utterance from its short-term acoustic features. We propose two different DNNbased approaches. In the fi...

Recently, deep bottleneck features (DBF) extracted from a deep neural network (DNN) containing a narrow bottleneck layer, have been applied for language identification (LID), and yield significant performance improvement over state-of-the-art methods on NIST LRE 2009. However, the DNN is trained using a large corpus of specific language which is not directly related to the LID task. More recent...

This paper describes our development work to design a language recognition system that can discriminate closely related languages and dialects of the same language. The work was a joint effort by LIMSI and Vocapia Research in preparation for the NIST 2015 Language Recognition Evaluation (LRE). The language recognition system results from a fusion of four core classifiers: a phonotactic componen...

This paper describes the work carried out at the Center for Sprogteknologi in Copen hagen to validate the LE evaluation methodology developed by the LRE project TEMAA TEMAA has developed a framework for the evaluation of LE products implemented in a Parameterisable Testbed PTB The framework allows for a modular formal and exible description of user requirements and objects of evaluation it acco...

This paper confirms the huge benefits of Factor Analysis over Maximum A-Posteriori adaptation for language recognition (up to 87% relative gain). We investigate ways to cope with the particularity of NIST’s LRE 2009, containing Conversational Telephone Speech (CTS) and phone bandwidth segments of radio broadcasts (Voice Of America, VOA). We analyze GMM systems using all data pooled together, ei...

SVM-based phonotactic language recognition is state-of-the-art technology. However, due to computational bounds, phonotactic information is usually limited to low-order phone n-grams (up to n = 3). In a previous work, we proposed a feature selection algorithm, based on n-gram frequencies, which allowed us work successfully with high-order n-grams on the NIST 2007 LRE database. In this work, we ...

Renal glomerular basement membranes (GBMs) exhibit a charge-selective barrier, comprised of anionic sites, that restrict the passage of anionic molecules into the urine. These sites are located primarily in the laminae rarae interna (LRI) and externa (LRE) of the GBM and consist of heparan sulfate proteoglycan (HSPG). Previous efforts to localize HSPG core protein within various layers of the G...