3,856 research outputs found

    Legato: an Online Platform for Virtual Collaboration of Amateur Classical Musicians

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    Department of Creative Design EngineeringLegato is a digital service platform to enhance the collaboration process for musicians in an orchestra context. The advent of new digital technologies, our daily lifestyle is with the digital environment. The present era of Covid-19 in the world is accelerating this digital transformation, and new experiences are emerging. Especially, the pandemic has attacked to the classical music industry, which has focused on the offline experience. The project scope is mainly focusing on classical musicians who collaborate for musical performance in the digital native. In the classical music field, three factors are creating music, which is a relationship between the audience, composer, and musician. In particular, it is aimed at amateur musicians such as people who take music as a hobby or young students who have little practical experience. This project proposes an online platform for the digital transformation of existing offline classical collaboration processes. The online platform aimed to allow musicians to share before and after their careers in music collaboration. Legato collects, analyzes, and reflects data on musicians' practice in online music collaborations. Moreover, Legato provides various classical music content and shares the overall music process at musicians' convenience. Additionally, Legato examines gaps and maneuvers, both online and offline music practice, to improve performers' experiences.ope

    Copyright Enforcement in the Dutch Digital Music Industry

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    There is a lack of interest and empirical analysis in the existing literature on composers’ relations with their publishers and the role of Collective Management Organizations (CMOs) within the system of music copyright. The purpose of this paper is to explore and understand the influence of digitization within the music industry on the copyright enforcement in the Netherlands and on rights holders and the CMOs. Also to explore and understand how their mutual relationships are affected by digitization of the music industry. A qualitative analysis was done by reviewing scientific literature, performing a documents analysis and doing open interviews. In the existing economics of copyright literature, the main focus is set on transaction costs, efficiency and welfare topics. The findings can be used to understand and model how rights holders and CMOs cope with the digitization and contribute to the policy makers and economic actor’s discussion about future improvement of the copyright enforcement system

    Music score conversion from paper to digital format

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    The goal of the present project is the design and development of an Optical Music Recognition (OMR) system as a desktop application. This software is able to recognize musical symbols from a scanned music score and convert them into an editable digital format. The scope of the project covers the melodic line of the music including the detection and recognition of staves, notes, rests and modi ers such as accidentals and dots. The algorithms used for this task are mostly unique designs based on techniques researched from di erent paper and available OMR systems. These algorithms have been tested with potential users who have been taken into account due to the importance given to the usability of the software.El objetivo del presente proyecto es el diseño y desarrollo de un sistema de reconocimiento óptico de caracteres musicales (OMR) en forma de aplicación de escritorio. Este software es capaz de reconocer símbolos musicales desde una partitura escaneada y convertirlos a un formato digital editable. El alcance del proyecto cubre la línea melódica incluyendo la detección y reconocimiento de pentagramas, notas, silencios y modificadores como alteraciones y puntillos. Los algoritmos usados para realizar esta tarea son mayoritariamente diseños únicos basados en técnicas investigadas en diferentes artículos y sistemas OMR disponibles. Estos algoritmos han sido probados con potenciales usuarios, que han sido tomados en cuenta debido a la importancia dada a la usabilidad del software

    A manifesto for the creative economy

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    The UK\u27s creative economy is one of its great national strengths, historically deeply rooted and accounting for around one-tenth of the whole economy. It provides jobs for 2.5 million people – more than in financial services, advanced manufacturing or construction – and in recent years, this creative workforce has grown four times faster than the workforce as a whole. But behind this success lies much disruption and business uncertainty, associated with digital technologies. Previously profitable business models have been swept away, young companies from outside the UK have dominated new internet markets, and some UK creative businesses have struggled to compete. UK policymakers too have failed to keep pace with developments in North America and parts of Asia. But it is not too late to refresh tired policies. This manifesto sets out our 10-point plan to bolster one of the UK\u27s fastest growing sectors

    New Aesthetic Experiences in Public Space: Performativity and Interaction in Urban Design

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    Powering the Academic Web

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    Context: Locating resources on the Web has become increasingly difficult for users and poses a number of issues. The sheer size of the Web means that despite what appears to be an increase in the amount of quality material available, the effort involved in locating that material is also increasing; in effect, the higher quality material is being diluted by the lesser quality. One such group affected by this problem is post-graduate students. Having only a finite amount of time to devote to research, this reduces their overall quality study time. Aim: This research investigates how post-graduate students use the Web as a learning resource and identifies a number of areas of concern with its use. It considers the potential for improvement in this matter by using a number of concepts such as: collaboration; peer reviewing and document classification and comparison techniques. This research also investigates whether by combining several of the identified technologies and concepts, student research on the Web can be improved. Method: Using some of the identified concepts as components, this research proposes a model to address the highlighted areas of concern. The proposed model, named the Durham Browsing Assistant (DurBA) is defined, and a number of key concepts which show potential within it are uncovered. One of the key concepts is chosen, that of document comparison. Given a source document, can a computer system reliably identify other documents which most closely match it from other on the Web? A software tool was created which allowed the testing of document comparison techniques, this was called the Durham Textual Comparison system (DurTeC) and it had two key concepts. The first was that it would allow various algorithms to be applied to the comparison process. The second concept was that it could simulate collaboration by allowing data to be altered, added and removed as if by multiple users. A set of experiments were created to test these algorithms and identify those which gave the best results. Results: The results from the experiments identified a number of the most promising relationships between comparison and collaboration processes. It also highlighted those which had a negative effect on the process, and those which produced variable results. Amongst the results, it was found that: 1. By providing DurTeC with additional source documents to the original, as if through a recommendation process, it was able to increase its accuracy substantially. 2. By allowing DurTeC to use synonym lists to expand its vocabulary, in many cases, it was found to have reduced its accuracy. 3. By restricting those words which DurTeC considered in its comparison process, based upon their value in the source document, accuracy could be increased. This could be considered as a form of collaborative keyword selection. Conclusion: This research shows that improvements can be made in the accuracy of identifying similar resources by using a combination of comparison and collaboration processes. The proposed model, DurBA would be an ideal host for such a system

    Heterogeneous networks in multifunctional spaces

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    Data Governance: A Quality Imperative in the Era of Big Data, Open Data, and Beyond

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    Design Resarch Epistemologies I:Research in Architectural Design

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