A Cognitive Science Reasoning in Recognition of Emotions in Audio-Visual Speech

In this report we summarize the state-of-the-art of speech emotion recognition from the signal processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the observation is made that existing approaches for supervised machine learning lead to database dependent classifiers which can not be applied for multi-language speech emotion recognition without additional training because they discriminate the emotion classes following the used training language. As there are experimental results showing that Humans can perform language independent categorisation, we made a parallel between machine recognition and the cognitive process and tried to discover the sources of these divergent results. The analysis suggests that the main difference is that the speech perception allows extraction of language independent features although language dependent features are incorporated in all levels of the speech signal and play as a strong discriminative function in human perception. Based on several results in related domains, we have suggested that in addition, the cognitive process of emotion-recognition is based on categorisation, assisted by some hierarchical structure of the emotional categories, existing in the cognitive space of all humans. We propose a strategy for developing language independent machine emotion recognition, related to the identification of language independent speech features and the use of additional information from visual (expression) features.

Maltese Experience with Digitizing Cultural Heritage

The article gives an account of the various microfilming initiatives taken in Malta during the last thirty years. Various archives have managed to microfilm their holdings under co-operation agreements with international societies, or manuscript libraries. The advent of digital technology is now posing new challenges and opportunities for the archives sector. The idea of a National Memory Project that will try to bridge the different approaches in the preservation of records in the various public, private, and ecclesiastical archives in Malta is discussed. Technical challenges are highlighted, as are the opportunities that arise from collaboration and active participation in international projects such as the European Visual Archives (EVA), and the SEEDI initiative.