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This paper describes an approach on real-time performance 3D visualization in the context of music education. A tool is described that produces sound visualizations during a student performance that are intuitively linked to common mistakes frequently observed in the performances of novice to intermediate students. The paper discusses the case of clarinet(More)
The aim of this paper is to explore the usefulness of using features from different linguistic levels to email authorship identification. Using various email datasets provided by PAN'11 lab we tested several feature groups in both authorship attribution and authorship verification subtasks. The selected feature groups combined with Regularized Logistic(More)
The aim of this study is to explore authorship attribution methods in Greek tweets. We have developed the first Modern Greek Twitter corpus (GTC) consisted of 12,973 tweets crawled from 10 Greek popular users. We used this corpus in order to study the effectiveness of a specific document representation called Author's Multilevel N-gram Profile (AMNP) and(More)
In this paper, the VEMUS platform is presented, as a novel approach for music tuition that focuses on beginner and intermediate students, typically aged from 9 to 15 years. This platform is characterized by an open, highly interactive and networked multilingual music tuition framework that covers a selection of popular wind instruments. The VEMUS(More)
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