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Acoustics of Music

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At t 20ms we would not perceive successive tone bursts as single events ... Grain waveform waveforms that don't change can be thought of as monochrome. ... – PowerPoint PPT presentation

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Title: Acoustics of Music


1
Acoustics of Music
  • Dr Ian Drumm

2
Digital Techniques
  • Aims
  • An introduction to Granular Synthesis
  • Learning Outcomes
  • Granular Synthesis
  • Grains as elements of sound
  • Control parameters
  • Applications
  • Wave Shaping
  • Shaping or transfer function
  • Chebychev Polynomials

3
Granular SynthesisBasic Concept
  • At tlt20ms we would not perceive successive tone
    bursts as single events
  • Idea suggests sound composed of successive
    elements of sound grains (not physically
    correct)
  • A grain is in effect a shaped tone bust
  • More complex sounds from lots and lots of grains

4
Grains Amplitude Envelope
  • Attack, Sustain and Decay sections
  • Three part linear
  • Gaussian
  • Pulse sound like wood block taps
  • Narrow envelopes crackling and popping

s is standard deviation µ is mean
5
Implementation
  • Waveform generator X Envelope generator
  • Control on a grain by grain basis makes this
    technique powerful

6
Control Data
  • Method comes into its own if grains vary on a
    grain by grain basis
  • Individual grain parameters we might want to vary
    include
  • duration
  • envelope type
  • amplitude
  • frequency
  • waveform type
  • If the waveform is synthetic you will need at
    least an extra parameter for index into a look
    table
  • If the waveform is a sample you might want to
    specify start position in the sample and the
    wavefile it is taken from
  • High grain densities give an explosion in the
    number of control parameters required

7
Sophisticated implementation
  • Need automatic high level scheme
  • Specify a few global parameters
  • e.g. change of spectrum with time hence system
    takes care of generating all the different grains
    for us
  • Several such high level schemes suggested tend to
    allow experiment/artistic control rather that
    analytical/scientific control

8
Example of a high level scheme
  • AGS (Asynchronous granular synthesis)
  • Sound produced described by the pattern of
    granules on the time/frequency plain.
  • Patterns described as clouds.
  • (cumulus, stratus, etc).
  • Cloud parameters include
  • Start time and duration
  • Bandwidth
  • Grain Density
  • Amplitude envelope
  • Spatial distribution of grains within the cloud

9
Cloud Shapes
10
Macroscopically varying grain parameters within
the cloud
  • Grain duration shorter grain durations have
    higher bandwidths resultant sonic textures
    perceived as crackling long grain durations
    give smoother sounds. An AGS system will let you
    vary durations via mathematical functions that
    can be dependant on random numbers or time,
    frequency, etc.
  • Grain waveform waveforms that dont change can
    be thought of as monochrome. Transchrome and
    polychrome variations in cloud give richer and
    dynamic sounds.

11
AGS Control Parameters
12
Advantages / Disadvantages
  • Basic concept attractive (but not quite correct)
  • Not suited to having an analysis stage (because
    not generally true acoustic theory)
  • Therefore not a good emulative technique for
    classic musical timbres
  • Excels at some natural sounds difficult to
    produce with other methods (e.g. crackling fire,
    water gurgling, wind gusts, explosions).

13
Wave Shaping
  • Pass signal trough a distortion box
  • Stored table in computer memory
  • Simple case
  • X is input signal
  • X used to index into table W i.e. W(x)
  • Table W is shaping or transfer function

14
Simplest Example
  • N.B. amplitude envelope to control degree of
    distortion

15
Wave Shaping as emulative technique
  • Many instruments have amplitude dependant timbres
  • bandwidth of trumpet increases as sound builds up
  • bandwidth of plucked string decrease as sound
    decays
  • Pluck, strike, bow or blow instrument harder
    gives richer spectrum
  • Wave Shaping gives similar result the greater
    the signal amplitude the richer the spectrum

16
How to obtain desired spectrum
  • Consider an input function
  • Clearly a signal of twice the frequency would be
  • Also using basic trig identities we know given
    the input amplitude is 1.
  • Hence if we put into transfer function
  • then the resulting output corresponds to a
    second harmonic.

17
Chebychev Functions
  • Can predict result of wave shaping for a cosine
    that varies between -1 and 1
  • By applying the kth Chebychev function Tk we get
    cosine at kth harmonic if x/-1
  • For example this will give three harmonics
  • If we put result in transfer function

18
  • Chebychev Polynomials
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