The “re-socialization” of Gypsy women in the literacy courses aimed to the recipients of the Social Integration Revenue Policy of the Region of Madrid

This article studies the gender values that are promoted both in the literacy courses for gypsy women beneficiaries of the Social Integration Revenue Policy of the Region of Madrid and in the events that are organized for this group by public institutions and NGOs. The process of “socialization” that occurs in the educative groups for Gypsy women is focused on constructing an image of what it is to be a “Gypsy modern woman”. Through multiple mechanisms and discursive techniques a specific conception of gender equality is transmitted in these educative spaces. In addition to this, Gypsy women are continually urged to assume certain values and social practices (of gender identity, of "citizenship", of parenting, etc..), while an archetype of "Gypsy Woman" which condenses powerful stereotypes and prejudices about the "Gypsy culture" and the gender relations characteristics of this group is constructed.

On-line Emotion Recognition in a 3-D Activation-Valence-Time Continuum using Acoustic and Linguistic Cues

For many applications of emotion recognition, such as virtual agents, the system must select responses while the user is speaking. This requires reliable on-line recognition of the user’s affect. However most emotion recognition systems are based on turnwise processing. We present a novel approach to on-line emotion recognition from speech using Long Short-Term Memory Recurrent Neural Networks. Emotion is recognised frame-wise in a two-dimensional valence-activation continuum. In contrast to current state-of-the-art approaches, recognition is performed on low-level signal frames, similar to those used for speech recognition. No statistical functionals are applied to low-level feature contours. Framing at a higher level is therefore unnecessary and regression outputs can be produced in real-time for every low-level input frame. We also investigate the benefits of including linguistic features on the signal frame level obtained by a keyword spotter.