Gènere i sexoafectivitat segons els adolescents dels usuaris dels centres oberts de la ciutat de Girona

L’objectiu d’aquest treball és conèixer la percepció que tenen els adolescents usuaris dels centres oberts de la ciutat de Girona sobre la sexualitat, l’afectivitat, quins rols de gènere se’n deriven i quines creences els sustenten. El disseny del treball ha estat qualitatiu, observacional, grups de discussió. Pel que fa als subjectes i al mètode, la població seleccionada ha estat de 33 adolescents i joves d’edats compreses entre els 12 i els 22 anys, usuaris de quatre centres oberts de Girona: el centre obert de Taialà, el Centre Obert de Font de la Pólvora (Onyar), el Centre Obert de Santa Eugènia i el Centre Obert del Barri Vell. Es van dur a terme grups de discussió d’una hora de duració sense descans amb d’entre 6 i 8 persones a partir d’un guió format per diversos mites i frases en relació a diversos temes (El festeig, la virginitat, la curiositat pel cos i per la sexualitat, els anticonceptius i les principals fonts d’informació) sobre les que havien de dir si estaven d’acord o no i qui creien que les deia (si un noi o una noia). Sobre els resultats del treball cal dir que s’ha observat la persistència d’algunes creences del model del amor romàntic en relació al rols de gènere com la definició de la dona vinculada a papers de cura i prevenció, una dona que té accés a la sexualitat però segueix estan catalogada per la vivència d’aquesta essent una persona “respectable” o una “puta”, que pren un rol més actiu en la iniciativa però no el l’assertivitat en les relacions; i un home, més impulsiu i sexual. En relació als comportaments sexuals destacar l’embaràs no desitjat com la principal preocupació de les relacions i el desconeixement/confusió entre els mètodes anticonceptius i de barrera disponibles a la xarxa de salut. Apareix la pornografia com a model emergent de relacions sexuals i models de relació entre homes i dones, en contraposició a altres fonts de informació i consulta tradicionals com els amics que segueixen essent la més significativa, la família, els serveis socials i educatius, i Internet. Com a conclusió cal dir que queda palesa la necessitat de incorporar una perspectiva de gènere en la formació curricular dels joves i el fet de seguir replantejant les millors estratègies d’intervenció per una concepció integradora de la sexualitat

Non-Linear and Non-Conventional Speech Processing: Alternative Techniques

This special issue aims to cover some problems related to non-linear and nonconventional speech processing. The origin of this volume is in the ISCA Tutorial and Research Workshop on Non-Linear Speech Processing, NOLISP’09, held at the Universitat de Vic (Catalonia, Spain) on June 25–27, 2009. The series of NOLISP workshops started in 2003 has become a biannual event whose aim is to discuss alternative techniques for speech processing that, in a sense, do not fit into mainstream approaches. A selected choice of papers based on the presentations delivered at NOLISP’09 has given rise to this issue of Cognitive Computation.

On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.

On Automatic Diagnosis of Alzheimer's Disease based on Spontaneous Speech Analysis and Emotional Temperature

Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.

A Robust Multiple Feature Approach To Endpoint Detection In Car Environment Based On Advanced Classifiers

In this paper we propose an endpoint detection system based on the use of several features extracted from each speech frame, followed by a robust classifier (i.e Adaboost and Bagging of decision trees, and a multilayer perceptron) and a finite state automata (FSA). We present results for four different classifiers. The FSA module consisted of a 4-state decision logic that filtered false alarms and false positives. We compare the use of four different classifiers in this task. The look ahead of the method that we propose was of 7 frames, which are the number of frames that maximized the accuracy of the system. The system was tested with real signals recorded inside a car, with signal to noise ratio that ranged from 6 dB to 30dB. Finally we present experimental results demonstrating that the system yields robust endpoint detection.

Alzheimer disease diagnosis based on automatic spontaneous speech analysis

Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis is sometimes made by excluding other dementias, and definitive confirmation must be done trough a post-mortem study of the brain tissue of the patient. The purpose of this paper is to contribute to im-provement of early diagnosis of AD and its degree of severity, from an automatic analysis performed by non-invasive intelligent methods. The methods selected in this case are Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET), that have the great advantage of being non invasive, low cost and without any side effects.

"Vrai" ou "faux" vertige: une vraie ou fausse question [True or false vertigo: a true or false question?]

Some practitioners ask on which criteria vertigo can be considered as "true" or "false". The goal of this paper is to explain why such a concept is misleading. Vertigo and imbalance are subjective symptoms caused by many possible factors, somatic or psychologic, which may cause, in turn, psychological distress in some patients. In all cases, the complain is "true", even in case of psychological disorder. To evaluate patients suffering from vertigo, knowledge in anatomy and physiology are necessary as well as knowledge of the interface between neuro-totologic and psychiatric conditions.

Multimodal Strategies in Development.Predictive Value of early simultaneosgesture-speech comination

The present study investigates the predictive value of the early appearance of simultaneous pointing-speech combinations. An experimental task was used to obtain a communicative productive sample from nineteen children at 1;0 and 1;3. Infant’s communicative productions, in combination with gaze joint engagement patterns, were analyzed in relation to different social conditions. The results show a significant effect of age and social condition on infants’ communicative productions. Gesture-speech combinations seem to work as a strong communicative resource to attract the adult’s attention in social demanding communicative contexts. Gaze joint engagement was used in combination with simultaneous pointing-speech combinations to attract adults’ attention during social demanding conditions. Finally, the use of simultaneous pointing-speech combinations at 1;0 in demanding conditions predicted greater expressive vocabulary acquisition at 1;3 and 1;6. These results indicate that the use of gesture-speech combinations may be considered a significant step towards the early integration of language components.

Reconciling phonological neighborhood effects in speech production through single trial analysis

A crucial step for understanding how lexical knowledge is represented is to describe the relative similarity of lexical items, and how it influences language processing. Previous studies of the effects of form similarity on word production have reported conflicting results, notably within and across languages. The aim of the present study was to clarify this empirical issue to provide specific constraints for theoretical models of language production. We investigated the role of phonological neighborhood density in a large-scale picture naming experiment using fine-grained statistical models. The results showed that increasing phonological neighborhood density has a detrimental effect on naming latencies, and re-analyses of independently obtained data sets provide supplementary evidence for this effect. Finally, we reviewed a large body of evidence concerning phonological neighborhood density effects in word production, and discussed the occurrence of facilitatory and inhibitory effects in accuracy measures. The overall pattern shows that phonological neighborhood generates two opposite forces, one facilitatory and one inhibitory. In cases where speech production is disrupted (e.g. certain aphasic symptoms), the facilitatory component may emerge, but inhibitory processes dominate in efficient naming by healthy speakers. These findings are difficult to accommodate in terms of monitoring processes, but can be explained within interactive activation accounts combining phonological facilitation and lexical competition.