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001 978-3-642-36098-5
003 DE-He213
005 20140220082903.0
007 cr nn 008mamaa
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020 _a9783642360985
_9978-3-642-36098-5
024 7 _a10.1007/978-3-642-36098-5
_2doi
050 4 _aQA76.9.M35
072 7 _aGPFC
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a620
_223
100 1 _aBader, Rolf.
_eauthor.
245 1 0 _aNonlinearities and Synchronization in Musical Acoustics and Music Psychology
_h[electronic resource] /
_cby Rolf Bader.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXXXII, 458 p. 178 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCurrent Research in Systematic Musicology ;
_v2
505 0 _aIntroduction -- Signal Processing -- Frequency Representations -- Embedding Representations -- Physical Modelling -- Musical Acoustics -- Musical Instruments -- Impulse Pattern Formulation -- Examples of Impulse Pattern Formulation -- Music Psychology -- Psychoacoustic -- Timbre -- Rhythm -- Pitch, Melody, Tonality -- CD Tracks.
520 _aNonlinearities 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.
650 0 _aEngineering.
650 0 _aPhysics.
650 0 _aAcoustics.
650 0 _aAcoustics in engineering.
650 1 4 _aEngineering.
650 2 4 _aComplexity.
650 2 4 _aEngineering Acoustics.
650 2 4 _aAcoustics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642360978
830 0 _aCurrent Research in Systematic Musicology ;
_v2
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-36098-5
912 _aZDB-2-ENG
999 _c97791
_d97791