5 resultados para Teaching of music

em Aston University Research Archive


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E-learning and e-learning applications/tools are available to all educators thanks to the evolution of technology and the internet. Although a great variety of technologies are available it is not always obvious how these can be integrated in traditional teaching to support and enhance the learning experience. The majority of the existing literature proposes the use of blogging as an activity that students should do in order to increase their active participation in learning. This article presents the use of blogspots in the teaching of Strategic Management as a tool used to create greater linkages between theory and practice, discussing the evolution of its utilisation in my modules, the current state of use and a series of reflections on experience gained from its use so far. Overall, I have found that there is limited literature on how blogging could link to teaching activities and its utilisation should be viewed as learning by doing which is evaluated and improved by critical reflection of the user.

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A dedicated algorithm for sparse spectral representation of music sound is presented. The goal is to enable the representation of a piece of music signal as a linear superposition of as few spectral components as possible, without affecting the quality of the reproduction. A representation of this nature is said to be sparse. In the present context sparsity is accomplished by greedy selection of the spectral components, from an overcomplete set called a dictionary. The proposed algorithm is tailored to be applied with trigonometric dictionaries. Its distinctive feature being that it avoids the need for the actual construction of the whole dictionary, by implementing the required operations via the fast Fourier transform. The achieved sparsity is theoretically equivalent to that rendered by the orthogonal matching pursuit (OMP) method. The contribution of the proposed dedicated implementation is to extend the applicability of the standard OMP algorithm, by reducing its storage and computational demands. The suitability of the approach for producing sparse spectral representation is illustrated by comparison with the traditional method, in the line of the short time Fourier transform, involving only the corresponding orthonormal trigonometric basis.