Rolf Bader – författare

The future of music archiving and search engines lies in deep learning and big data. Music information retrieval algorithms automatically analyze musical features like timbre, melody, rhythm or musical form, and artificial intelligence then sorts and relates these features. At the first International Symposium on Computational Ethnomusicological Archiving held on November 9 to 11, 2017 at the Institute of Systematic Musicology in Hamburg, Germany, a new Computational Phonogram Archiving standard was discussed as an interdisciplinary approach. Ethnomusicologists, music and computer scientists, systematic musicologists as well as music archivists, composers and musicians presented tools, methods and platforms and shared fieldwork and archiving experiences in the fields of musical acoustics, informatics, music theory as well as on music storage, reproduction and metadata. The Computational Phonogram Archiving standard is also in high demand in the music market as a search engine for musicconsumers. This book offers a comprehensive overview of the field written by leading researchers around the globe.

This book proposes a Physical Culture Theory, taking culture as a self-organizing impulse pattern of electric forces. Bridging the gap to consciousness, the Physical Culture Theory proposes that consciousness content, what we think, hear, feel, or see is also just this: spatio-temporal electric fields.

This book proposes a Physical Culture Theory, taking culture as a self-organizing impulse pattern of electric forces. Bridging the gap to consciousness, the Physical Culture Theory proposes that consciousness content, what we think, hear, feel, or see is also just this: spatio-temporal electric fields.

Die Zukunft der Musikarchivierung und der Suchmaschinen liegt im Deep Learning und in Big Data. Algorithmen zum Abrufen von Musikinformationen analysieren automatisch musikalische Merkmale wie Klangfarbe, Melodie, Rhythmus oder musikalische Form, und künstliche Intelligenz sortiert und verknüpft diese Merkmale dann. Auf dem ersten International Symposium on Computational Ethnomusicological Archiving, das vom 9. bis 11. November 2017 am Institut für Systematische Musikwissenschaft in Hamburg stattfand, wurde ein neuer Standard für Computational Phonogram Archiving als interdisziplinärer Ansatz diskutiert. Ethnomusikologen, Musik- und Computerwissenschaftler, Systematische Musikwissenschaftler sowie Musikarchivare, Komponisten und Musiker stellten Werkzeuge, Methoden und Plattformen vor und tauschten Erfahrungen aus der Feldforschung und Archivierung in den Bereichen musikalische Akustik, Informatik, Musiktheorie sowie Musikspeicherung, -wiedergabe und Metadaten aus. Der Standard Computational Phonogram Archiving ist auch auf dem Musikmarkt als Suchmaschine für Musikkonsumenten sehr gefragt. Dieses Buch bietet einen umfassenden Überblick über das Gebiet, geschrieben von führenden Forschern aus aller Welt.

Musical Performance covers many aspects like Musical Acoustics, Music Psychology, or motor and prosodic actions. It deals with basic concepts of the origin or music and its evolution, ranges over neurocognitive foundations, and covers computational, technological, or simulation solutions. This volume gives an overview about current research in the foundation of musical performance studies on all these levels. Recent concepts of synchronized systems, evolutionary concepts, basic understanding of performance as Gestalt patterns, theories of chill as performance goals or historical aspects are covered. The neurocognitive basis of motor action in terms of music, musical syntax, as well as therapeutic aspects are discussed. State-of-the-art applications in performance realizations, like virtual room acoustics, virtual musicians, new concepts of real-time physical modeling using complex performance data as input or sensor and gesture studies with soft- and hardware solutions are presented. So although the field is still much larger, this volume presents current trends in terms of understanding, implementing, and perceiving performance.

Musical Performance covers many aspects like Musical Acoustics, Music Psychology, or motor and prosodic actions. It deals with basic concepts of the origin or music and its evolution, ranges over neurocognitive foundations, and covers computational, technological, or simulation solutions. This volume gives an overview about current research in the foundation of musical performance studies on all these levels. Recent concepts of synchronized systems, evolutionary concepts, basic understanding of performance as Gestalt patterns, theories of chill as performance goals or historical aspects are covered. The neurocognitive basis of motor action in terms of music, musical syntax, as well as therapeutic aspects are discussed. State-of-the-art applications in performance realizations, like virtual room acoustics, virtual musicians, new concepts of real-time physical modeling using complex performance data as input or sensor and gesture studies with soft- and hardware solutions are presented. So although the field is still much larger, this volume presents current trends in terms of understanding, implementing, and perceiving performance.

Computational Mechanics of the Classical Guitar describes a new dynamic paradigm in instrument acoustics based on time-dependent transient analysis and simulation of complete musical instruments. It describes the current state of theoretical and experimental research into the guitar for engineers, instrument makers and musicians. This includes a summary of the basic equations for the mechanics of vibrating bodies and a presentation of the FDM (finite difference method) model with which the true vibrational behaviour of the instrument as an entire system can be understood for the first time. This monograph presents various new theoretical and experimental results and insights into guitar playing such as the coupling between the strings and the top plate or a description of the finger noise made when the fingers slide over the strings before plucking.

The volume presents current research in the field of Systematic Musicology at the Institute of Musicology, University of Hamburg. Internationally leading research like the unique ‘Acoustic Camera’ developed at the Institute or a real-time hardware implementation of Physical Modeling as well as important contributions to the field of Musical Neurocognition and Psychology, like Forensic Music Psychology, or the development of a Syllogistic Music Theory addresses hot topics in Systematic Musicology today.Der Band präsentiert die aktuelle Forschung der Systematischen Musikwissenschaft am Institut für Musikwissenschaft, Universität Hamburg. Bei der international führenden Forschung, wie etwa der weltweit größten ‘Akustischen Kamera’, welche am Institut entwickelt wurde, oder der Echtzeit-Hardware-Implementierung von physikalischer Modellierung wie auch bei wichtigen Beiträgen auf den Gebieten der Musikalischen Neurokognition und Musikalischen Psychologie, z.B. der Forensischen Musikpsychologie oder der Entwicklung einer Syllogistischen Musiktheorie, handelt es sich um Schlüsselthemen heutiger Musikwissenschaft.

Computational Mechanics of the Classical Guitar describes a new dynamic paradigm in instrument acoustics based on time-dependent transient analysis and simulation of complete musical instruments. It describes the current state of theoretical and experimental research into the guitar for engineers, instrument makers and musicians. This includes a summary of the basic equations for the mechanics of vibrating bodies and a presentation of the FDM (finite difference method) model with which the true vibrational behaviour of the instrument as an entire system can be understood for the first time. This monograph presents various new theoretical and experimental results and insights into guitar playing such as the coupling between the strings and the top plate or a description of the finger noise made when the fingers slide over the strings before plucking.

Nonlinearities are a crucial and founding principle in nearly all musical systems, may they be musical instruments, timbre or rhythm perception and production, or neural networks of music perception. This volume gives an overview about present and past research in these fields. In Musical Acoustics, on the one hand the nonlinearities in musical instruments often produce the musically interesting features. On the other, musical instruments are nonlinear by nature, and tone production is the result of synchronization and self-organization within the instruments. Furthermore, as nearly all musical instruments are driven by impulses an Impulse Pattern Formulation (IPF) is suggested, an iterative framework holding for all musical instruments. It appears that this framework is able to reproduce the complex and perceptionally most salient initial transients of musical instruments. In Music Psychology, nonlinearities are present in all areas of musical features, like pitch, timbre, or rhythm perception. In terms of rhythm production and motion, self-organizing models are the only ones able to explain sudden phase-transitions while tapping. Self-organizing neural nets, both of the Kohonen and the connectionist types are able to reproduce tonality, timbre similarities, or phrases. The volume also gives an overview about the signal processing tools suitable to analyze sounds in a nonlinear way, both in the Fourier-domain, like Wavelets or correlograms, and in the phase-space domain, like fractal dimensions or information structures. Furthermore, it gives an introduction to Physical Modeling of musical instruments using Finite-Element and Finite-Difference methods, to cope with the high complexity of instrument bodies and wave couplings. It appears, that most musical systems are self-organized ones, and only therefore able to produce all unexpected and interesting features of music, both in production and perception.

Nonlinearities are a crucial and founding principle in nearly all musical systems, may they be musical instruments, timbre or rhythm perception and production, or neural networks of music perception.