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Physical modelling synthesis

Physical modelling synthesis is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Physical modelling synthesis rather than just read about it. In short: Physical modelling synthesis refers to sound synthesis methods in which the waveform of the sound to be generated is computed using a mathematical model, a set of equations and algorithms to simulate a physical source of sound, usually a musical instrument. General methodology Modelling attempts to replicate laws of physics that govern sound production, and will typically have several parameters, some of which are c…

Key takeaways

  • Physical modelling synthesis belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Physical modelling synthesis to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Physical modelling synthesis from memory before moving on to harder problems.

Reference excerpt

Physical modelling synthesis refers to sound synthesis methods in which the waveform of the sound to be generated is computed using a mathematical model, a set of equations and algorithms to simulate a physical source of sound, usually a musical instrument.

General methodology Modelling attempts to replicate laws of physics that govern sound production, and will typically have several parameters, some of which are constants that describe the physical materials and dimensions of the instrument, while others are time-dependent functions describing the player's interaction with the instrument, such as plucking a string or covering toneholes. For example, to model the sound of a drum, there would be a mathematical model of how striking the drumhead injects energy into a two-dimensional membrane. Incorporating this, a larger model would simulate the properties of the membrane (mass density, stiffness, etc.), its coupling with the resonance of the cylindrical body of the drum, and the conditions at its boundaries (a rigid termination to the drum's body), describing its movement over time and thus its generation of sound. Similar stages to be modelled can be found in instruments such as a violin, though the energy excitation in this case is provided by the slip-stick behavior of the bow against the string, the width of the bow, the resonance and damping behavior of the strings, the transfer of string vibrations through the bridge, and finally, the resonance of the soundboard in response to those vibrations. In addition, the same concept has been applied to simulate voice and speech sounds. In this case, the synthesizer includes mathematical models of the vocal fold oscillation and associated laryngeal airflow, and the consequent acoustic wave propagation along the vocal tract. Further, it may also contain an articulatory model to control the vocal tract shape in terms of the position of the lips, tongue and other organs. Although physical modelling was not a new concept in acoustics and synthesis, having been implemented using finite difference approximations of the wave equation by Hiller and Ruiz in 1971, it was not until the development of the Karplus-Strong algorithm, the subsequent refinement and generalization of the algorithm into the extremely efficient digital waveguide synthesis by Julius O. Smith III and others, and the increase in DSP power in the late 1980s that commercial implementations became feasible. Yamaha contracted with Stanford University in 1989 to jointly develop digital waveguide synthesis; subsequently, most patents related to the technology are owned by Stanford or Yamaha. The first commercially available physical modelling synthesizer made using waveguide synthesis was the Yamaha VL1 in 1994. While the efficiency of digital waveguide synthesis made physical modelling feasible on common DSP hardware and native processors, the convincing emulation of physical instruments often requires the introduction of non-linear elements, scattering junctions, etc. In these cases, digital waveguides are often combined with FDTD, finite element or wave digital filter methods, increasing the computational demands of the model.

Technologies associated with physical modelling Karplus–Strong string synthesis Digital waveguide synthesis Mass-interaction networks Formant synthesis Articulatory synthesis

References Hiller, L.; Ruiz, P. (1971). "Synthesizing Musical Sounds by Solving the Wave Equation for Vibrating Objects". Journal of the Audio Engineering Society. Karplus, K.; Strong, A. (1983). "Digital synthesis of plucked string and drum timbres". Computer Music Journal. 7 (2). Computer Music Journal, Vol. 7, No. 2: 43–55. doi:10.2307/3680062. JSTOR 3680062. Julius O. Smith III (December 2010). Physical Audio Signal Processing. Cadoz, C.; Luciani A; Florens JL (1993). "CORDIS-ANIMA : a Modeling and Simulation System for Sound and Image Synthesis: The General Formalism". Computer Music Journal. 17/1 (1). Computer Music Journal, MIT Press 1993, Vol. 17, No. 1.

Footnotes

Further reading "The next generation, part 1". Future Music. No. 32. Future Publishing. June 1995. p. 80. ISSN 0967-0378. OCLC 1032779031.

External links Julius. O Smith III's A Basic Introduction to Digital Waveguide Synthesis Music synthesis approaches sound quality of real instruments — Stanford University's 1994 news release Archived 2013-03-05 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Physical modelling synthesis

Start with the simplest possible case. Write down what Physical modelling synthesis claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Physical modelling synthesis before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Physical modelling synthesis ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Physical modelling synthesis

In research
Physical modelling synthesis appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Physical modelling synthesis in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Physical modelling synthesis is common in secondary-school and first-year university syllabi. It links to neighbouring topics Japanese inventions, Sound synthesis types, so understanding it makes those chapters shorter.
In everyday life
Look for Physical modelling synthesis outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Physical modelling synthesis in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Physical modelling synthesis means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Physical modelling synthesis out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Physical modelling synthesis in simple terms?

Physical modelling synthesis refers to sound synthesis methods in which the waveform of the sound to be generated is computed using a mathematical model, a set of equations and algorithms to simulate a physical source of sound, usually a musical instrument. General methodology Modelling attempts to…

Why does Physical modelling synthesis matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Physical modelling synthesis?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Physical modelling synthesis.

Tags

  • Japanese inventions
  • Sound synthesis types

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