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Discrete-time modelling of musical instruments
, 2006
"... This article describes physical modelling techniques that can be used for simulating musical instruments. The methods are closely related to digital signal processing. They discretize the system with respect to time, because the aim is to run the simulation using a computer. The physics-based modell ..."
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Cited by 43 (9 self)
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This article describes physical modelling techniques that can be used for simulating musical instruments. The methods are closely related to digital signal processing. They discretize the system with respect to time, because the aim is to run the simulation using a computer. The physics-based modelling methods can be classified as mass–spring, modal, wave digital, finite difference, digital waveguide and source–filter models. We present the basic theory and a discussion on possible extensions for each modelling technique. For some methods, a simple model example is chosen from the existing literature demonstrating a typical use of the method. For instance, in the case of the digital waveguide modelling technique a vibrating string model is discussed, and in the case of the wave digital filter technique we present a classical piano hammer model. We tackle some nonlinear and time-varying models and include new results on the digital waveguide modelling of a nonlinear string. Current trends and future directions in physical modelling of musical instruments are discussed.
Modeling of tension modulation nonlinearity in plucked strings,”
- IEEE Transactions on Speech and Audio Processing,
, 2000
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Model-Based Analysis of Noisy Musical Recordings with Application to Audio Restoration
, 2004
"... Teknillinen korkeakoulu Sähkö- ja tietoliikennetekniikan osasto Akustiikan ja äänenkäsittelytekniikan laboratorio ..."
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Cited by 3 (0 self)
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Teknillinen korkeakoulu Sähkö- ja tietoliikennetekniikan osasto Akustiikan ja äänenkäsittelytekniikan laboratorio
Using Musical Instruments As An Engineering Educational Medium
, 2002
"... At Tufts University we have developed and implemented a curriculum in Musical Instrument Engineering (MIE). This program includes both a concentration certificate for the mechanical engineer and a minor for those majoring in other degrees. By using musical instruments as an educational medium, ..."
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Cited by 1 (1 self)
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At Tufts University we have developed and implemented a curriculum in Musical Instrument Engineering (MIE). This program includes both a concentration certificate for the mechanical engineer and a minor for those majoring in other degrees. By using musical instruments as an educational medium, we are teaching the fundamentals of engineering through a familiar and non-threatening subject.
Field of research Musical acoustics and sound synthesis
"... Loudness and timbre issues in plucked stringed instruments- analysis, synthesis, and design ..."
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Loudness and timbre issues in plucked stringed instruments- analysis, synthesis, and design
THE VBOW AN EXPRESSIVE MUSICAL CONTROLLER HAPTIC HUMAN-COMPUTER INTERFACE
, 2003
"... in my opinion, it is fully adequate ..."
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Decomposition of Steady State Instrument Data into Excitation System and Formant Filter Components
"... This paper describes a method for decomposing steady-state instrument data into excitation and formant filter components. The input data, taken from several series of recordings of acoustical instruments is analyzed in the frequency domain, and for each series a model is built, which most accurat ..."
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This paper describes a method for decomposing steady-state instrument data into excitation and formant filter components. The input data, taken from several series of recordings of acoustical instruments is analyzed in the frequency domain, and for each series a model is built, which most accurately represents the data as a source-filter system. The source part is taken to be a harmonic excitation system with frequency-invariant magnitudes, and the filter part is considered to be responsible for all spectral inhomogenieties. This method has been applied to the SHARC database of steady state instrument data to create source-filter models for a large number of acoustical instruments. Subsequent use of such models can have a wide variety of applications, including wavetable and physical modeling synthesis, high quality pitch shifting, and creation of "hybrid" instrument timbres. 1 Introduction Currently, two techniques are used most successfully for digital emulation of acousti...