In this paper, Out-Of-Language (OOL) detection problem is handled by both language dependent (LD) and language independent (LI) approaches. In the LD approach, a novel speech content and language joint recognition algorithm is proposed, which integrates a phone lattice-based vector space modeling language recognition (LRE) backend into the conventional speech decoding procedure. In the LI appro...

Optimizations performed at link time or directly applied to nal program executables have received increased attention in recent years. This paper discuss the discovery and elimination of redundant load operations in the context of a link time optimizer, an optimization that we call Load Redundancy Elimination (LRE). Our experiments show that between 50% and 75% of a program's memory references ...

In the phonotactic approach for language recognition, a phone tokeniser is normally used to transform the audio signal into acoustic tokens. The language identity of the speech is modelled by the occurrence statistics of the decoded tokens. The performance of this approach depends heavily on the quality of the audio tokeniser. A high-quality tokeniser in matched condition is not always availabl...

This study summarizes the overall solution and sub-systems developed by the Center for Robust Speech Systems (CRSS) at the University of Texas at Dallas to address the NIST LRE-2011 competition. CRSS-UTD employs five core sub-systems in the proposed language ID solution that include: (1) i-vector, (2) SVM-GSV, (3) PPRLM, (4) Articulatory Feature based, and (5) Prosody based. The first four repr...

Phone Log-Likelihood Ratio (PLLR) features have been recently introduced as an effective way of making use of frame-level phone posteriors in language and speaker recognition systems. In this paper, a deep insight into PLLR features is made and further evidence of the usefulness of these features in spoken language recognition tasks is provided, with a new set of experiments carried out on the ...

The Albayzin 2010 Language Recognition Evaluation (LRE), carried out from June to October 2010, was the second effort made by the Spanish/Portuguese community for benchmarking language recognition technology. As the Albayzin 2008 LRE, it was coordinated by the Software Technology Working Group of the University of the Basque Country, with the support of the Spanish Thematic Network on Speech Te...

State-of-the-art language recognition systems usually combine multiple acoustic and phonotactic subsystems. The outputs of those systems are usually fused in different ways but the score from a trial is always obtained from N scores from N subsystems. In this paper, a robust novel approach to subsystem fusion in language recognition is proposed based on the relative performance of each trial no...

The size and power of the Wald, Edgeworth expansion corrected likelihood-ratio statistic (LRE), and bootstrap tests for Granger causality in integrated-cointegrated VAR systems are considered. By using Monte Carlo methods and simple graphical techniques, the p-value plots, and power-size plots, properties of the tests in two different forms, the standard and the Dolado and Lütkepohl (1996) modi...

This paper presents the main features (design issues, recording setup, etc.) of KALAKA-2, a TV broadcast speech database specifically designed for the development and evaluation of language recognition systems in clean and noisy environments. KALAKA-2 was created to support the Albayzin 2010 Language Recognition Evaluation (LRE), organized by the Spanish Network on Speech Technologies from June...

It is an ongoing debate whether specific neurocognitive systems are involved in face and object recognition, particularly for analyses that require the access to stored structural and semantic knowledge. Here we compared the processing of familiar (at the exemplar level) and unfamiliar faces and buildings by recording event-related potentials in a repetition priming paradigm. We focused on the ...