Titlebook: Computational Phonogram Archiving; Rolf Bader Book 2019 Springer Nature Switzerland AG 2019 phonographical archiving.computational phonogr

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Finding Music in Music Data: A Summary of the DaCaRyH Projectgists, computer scientists, and a composer. The primary aim of . was to explore how ethnomusicology could inform data science, and vice versa. Its secondary aim focused on creative applications of the results. This article summarises the results of the project, and more broadly discusses the benefit

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Requirements and Use Cases for Digital Sound Archives in Ethnomusicologyrom user and expert interviews as well as from literature of the sphere of ethnomusicology, computational musicology, archival studies and informatics. Interviews were conducted with stakeholders that are either involved in creation and maintenance of archiving software or who consider utilizing an

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Shock Wave Characteristics in the Initial Transient of an Organ Pipecompressible Navier-Stokes equations with suitable boundary and initial conditions, it is possible to retrace the generation, propagation, reflection, damping and radiation of sound waves. The focus is on the contribution of occurring pressure wave fronts in the initial transient that show shock wav

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Computed Tomography as a Tool for Archiving Ethnomusicological Objectstion are considered to be repatriated. Some objects consist of sensitive material like human remains and are therefore bound to ethical guidelines for exhibition. On the example of a Tibetan ., a drum made of two human skulls, the provenance of the object and ethical considerations are discussed. Fo

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3D Imaging of Musical Instruments: Methods and Applicationsusicologists, curators, and instrument builders. The work should help to find the appropriate method for a specific purpose and further highlight several possible applications for the obtained data. Firstly, three techniques of 3D image acquisition are introduced. Advantages and disadvantages of the

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Surface tension of tetrachloromethane, the world with computational tools. Its analysis is based on Music Information Retrieval (MIR) tools, the sorting algorithms used are Hidden-Markov models and self-organazing Kohonen maps (SOM). Different kinds of systematizations like taxonomies, self-organazing systems as well as bottom-up method

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