Speaker recognition improvement using blind inversion of distortions

In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the test signals, trying to take into account real situations where the training material has been recorded in a controlled situation but the testing signals present some mismatch with the input signal level (saturations). The experimental results shows that a combination of several strategies can improve the recognition rates with saturated test sentences from 80% to 89.39%, while the results with clean speech (without saturation) is 87.76% for one microphone.

Synthesis of Janus compounds for the recognition of G-U mismatched nucleobase pairs

The design and synthesis of two Janus-type heterocycles with the capacity to simultaneously recognize guanine and uracyl in G-U mismatched pairs through complementary hydrogen bond pairing is described. Both compounds were conveniently functionalized with a carboxylic function and efficiently attached to a tripeptide sequence by using solid-phase methodologies. Ligands based on the derivatization of such Janus compounds with a small aminoglycoside, neamine, and its guanidinylated analogue have been synthesized, and their interaction with Tau RNA has been investigated by using several biophysical techniques, including UV-monitored melting curves, fluorescence titration experiments, and 1H NMR. The overall results indicated that Janus-neamine/guanidinoneamine showed some preference for the +3 mutated RNA sequence associated with the development of some tauopathies, although preliminary NMR studies have not confirmed binding to G-U pairs. Moreover, a good correlation has been found between the RNA binding affinity of such Janus-containing ligands and their ability to stabilize this secondary structure upon complexation.

Singling out individual inventors from patent data

An increasing number of studies in recent years have sought to identify individual inventors from patent data. A variety of heuristics have been proposed for using the names and other information disclosed in patent documents to establish who is who in patents. This paper contributes to this literature by describing a methodology for identifying inventors using patents applied to the European Patent Office, EPO hereafter. As in much of this literature, we basically follow a threestep procedure : 1- the parsing stage, aimed at reducing the noise in the inventor’s name and other fields of the patent; 2- the matching stage, where name matching algorithms are used to group similar names; and 3- the filtering stage, where additional information and various scoring schemes are used to filter out these similarlynamed inventors. The paper presents the results obtained by using the algorithms with the set of European inventors applying to the EPO over a long period of time.

Prediction of the economic cost of individual long-term care in the Spanish population

Pensions together with savings and investments during active life are key elements of retirement planning. Motivation for personal choices about the standard of living, bequest and the replacement ratio of pension with respect to last salary income must be considered. This research contributes to the financial planning by helping to quantify long-term care economic needs. We estimate life expectancy from retirement age onwards. The economic cost of care per unit of service is linked to the expected time of needed care and the intensity of required services. The expected individual cost of long-term care from an onset of dependence is estimated separately for men and women. Assumptions on the mortality of the dependent people compared to the general population are introduced. Parameters defining eligibility for various forms of coverage by the universal public social care of the welfare system are addressed. The impact of the intensity of social services on individual predictions is assessed, and a partial coverage by standard private insurance products is also explored. Data were collected by the Spanish Institute of Statistics in two surveys conducted on the general Spanish population in 1999 and in 2008. Official mortality records and life table trends were used to create realistic scenarios for longevity. We find empirical evidence that the public long-term care system in Spain effectively mitigates the risk of incurring huge lifetime costs. We also find that the most vulnerable categories are citizens with moderate disabilities that do not qualify to obtain public social care support. In the Spanish case, the trends between 1999 and 2008 need to be further explored.

Intensidad de cuidados enfermeros: ¿cargas de trabajo o complejidad individual?

Objetivo: explorar la identificación de los factores individuales de complejidad de cuidados en enfermos hospitalizados. Método: se empleó un diseño cualitativo de investigación-acción participativa con el método de análisis directo de contenido de los breves relatos de los participantes, enfermeras y enfermeros de los hospitales del lnstituto Catalán de la Salud, sobre casos en los que hubieran experimentado situaciones de complejidad. La suficiencia muestral se estableció a partir del criterio de saturación de la información. Los participantes fueron invitados a formar parte de una ronda de talleres/sesiones de discusión que se hicieron durante 18 meses. Uno de los investigadores recogía por escrito las opiniones de los participantes, mientras el otro moderaba el debate y realizaba preguntas reflexivas sobre el contenido de la propuesta. Posteriormente se invitaba a los participantes a organizarse en pequeños grupos para discutir y registrar en un fomulario individual, breves narrativas sobre casos en los que hubieran experimentado situaciones de complejidad. Resultados: el número de relatos breves incluidos en el análisis final fue de 287. Los factores individuales de complejidad de cuidados incluye cinco dominios: (1) evolutivo, (2) mental y cognitivo, (3) psicoemocional, (4) sociocultural y (5) comorbilidad y complicaciones. La complejidad individual de cuidados se estructura fuentes, factores y especificaciones. Conclusiones: de los cinco ejes de complejidad identificados en el Modelo Vectorial de Complejidad de Safford, cuatro coinciden parcialmente con el análisis presentado. La arquitectura de la complejidad de cuidados debería incluir una consideración multiperspectiva, incluyendo los ejes de complejidad individual, terapéutica-procedimental y organizativa.

Intensidad de cuidados enfermeros: ¿cargas de trabajo o complejidad individual?

Objetivo: explorar la identificación de los factores individuales de complejidad de cuidados en enfermos hospitalizados. Método: se empleó un diseño cualitativo de investigación-acción participativa con el método de análisis directo de contenido de los breves relatos de los participantes, enfermeras y enfermeros de los hospitales del lnstituto Catalán de la Salud, sobre casos en los que hubieran experimentado situaciones de complejidad. La suficiencia muestral se estableció a partir del criterio de saturación de la información. Los participantes fueron invitados a formar parte de una ronda de talleres/sesiones de discusión que se hicieron durante 18 meses. Uno de los investigadores recogía por escrito las opiniones de los participantes, mientras el otro moderaba el debate y realizaba preguntas reflexivas sobre el contenido de la propuesta. Posteriormente se invitaba a los participantes a organizarse en pequeños grupos para discutir y registrar en un fomulario individual, breves narrativas sobre casos en los que hubieran experimentado situaciones de complejidad. Resultados: el número de relatos breves incluidos en el análisis final fue de 287. Los factores individuales de complejidad de cuidados incluye cinco dominios: (1) evolutivo, (2) mental y cognitivo, (3) psicoemocional, (4) sociocultural y (5) comorbilidad y complicaciones. La complejidad individual de cuidados se estructura fuentes, factores y especificaciones. Conclusiones: de los cinco ejes de complejidad identificados en el Modelo Vectorial de Complejidad de Safford, cuatro coinciden parcialmente con el análisis presentado. La arquitectura de la complejidad de cuidados debería incluir una consideración multiperspectiva, incluyendo los ejes de complejidad individual, terapéutica-procedimental y organizativa.

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Peer-reviewed

Shared feature extraction for nearest neighbor face recognition

In this paper, we propose a new supervised linearfeature extraction technique for multiclass classification problemsthat is specially suited to the nearest neighbor classifier (NN).The problem of finding the optimal linear projection matrix isdefined as a classification problem and the Adaboost algorithmis used to compute it in an iterative way. This strategy allowsthe introduction of a multitask learning (MTL) criterion in themethod and results in a solution that makes no assumptions aboutthe data distribution and that is specially appropriated to solvethe small sample size problem. The performance of the methodis illustrated by an application to the face recognition problem.The experiments show that the representation obtained followingthe multitask approach improves the classic feature extractionalgorithms when using the NN classifier, especially when we havea few examples from each class

Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

Individual differences in control of language interference in late bilinguals are mainly related to general executive abilities

Background: Recent research based on comparisons between bilinguals and monolinguals postulates that bilingualism enhances cognitive control functions, because the parallel activation of languages necessitates control of interference. In a novel approach we investigated two groups of bilinguals, distinguished by their susceptibility to cross-language interference, asking whether bilinguals with strong language control abilities ('non-switchers") have an advantage in executive functions (inhibition of irrelevant information, problem solving, planning efficiency, generative fluency and self-monitoring) compared to those bilinguals showing weaker language control abilities ('switchers"). Methods: 29 late bilinguals (21 women) were evaluated using various cognitive control neuropsychological tests [e.g., Tower of Hanoi, Ruff Figural Fluency Task, Divided Attention, Go/noGo] tapping executive functions as well as four subtests of the Wechsler Adult Intelligence Scale. The analysis involved t-tests (two independent samples). Non-switchers (n = 16) were distinguished from switchers (n = 13) by their performance observed in a bilingual picture-naming task. Results: The non-switcher group demonstrated a better performance on the Tower of Hanoi and Ruff Figural Fluency task, faster reaction time in a Go/noGo and Divided Attention task, and produced significantly fewer errors in the Tower of Hanoi, Go/noGo, and Divided Attention tasks when compared to the switchers. Non-switchers performed significantly better on two verbal subtests of the Wechsler Adult Intelligence Scale (Information and Similarity), but not on the Performance subtests (Picture Completion, Block Design). Conclusions: The present results suggest that bilinguals with stronger language control have indeed a cognitive advantage in the administered tests involving executive functions, in particular inhibition, self-monitoring, problem solving, and generative fluency, and in two of the intelligence tests. What remains unclear is the direction of the relationship between executive functions and language control abilities.