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The aim of this study was to explore the developmental pattern of basic emotion understanding in children aged 3 to 5 years. We know that children identify first facial expressions and understand later the causes of emotions, but are emotions understood at the same time, at the same developmental moment? To carry out this study, a group of 103 boys and girls between the ages of 3 and 5 were evaluated longitudinally. Through the Test of Emotion Comprehension (TEC) identification and causality of four basic emotions – sadness, joy, anger, and fear – were tested over three years. The results, according to previous studies, confirmed the hierarchical structure of these two components, being the identification of the facial expression the first component acquired and the understanding of the cause of the emotion the second component. In addition, it was observed that the understanding of these four emotions does not occur synchronously. For example, the cause of fear is reasonably well understood at the age of three, while the cause of anger seems to be understood later. In addition to deepening the developmental pattern of emotion knowledge, such results could help educators and clinicians to adjust educational programs aimed at improving knowledge and socio-emotional competence in children of this educational stage. [ABSTRACT FROM AUTHOR]

Currently based applications processing of spoken language are very common. In this line of research we can be found speech and speaker recognition, voice synthesis among others. The work presented here is on as a machine can identify the emotions from a human speaker. The model used consists of three blocks, the first block is responsible for the signal pre-processing, the tasks are carried out are filtering, and optional pre-emphasis an algorithm for detecting voice. The second module is responsible for extracting features of the speech signal, in this work will be done using a spectral analyzer as is the Warping using specific the MFCC (Mel Frequency Cepstral Coefficients). The third one module is responsible for qualifying which uses the algorithm K-Means. The evaluation is done through an array of so-called confusion which are measured successes of the system, for trainning and test are used two databases one in Spanish (SES) and the other in German (EmoDB). [ABSTRACT FROM AUTHOR]