View source: R/smooth-pc-spectrum.R
smooth_pc_spectrum | R Documentation |
Creates an object of class smooth_pc_spectrum
,
describing a smooth pitch-class spectrum.
A smooth pitch-class spectrum describes perceptual weight
along a continuous pitch class scale.
The representation incorporates smoothing to account for
imprecisions in pitch perception.
smooth_pc_spectrum(
x,
...,
sigma = 6.83,
num_harmonics = 11L,
roll_off = 1,
coherent = FALSE
)
## Default S3 method:
smooth_pc_spectrum(
x,
...,
sigma = 6.83,
num_harmonics = 11L,
roll_off = 1,
coherent = FALSE
)
## S3 method for class 'sparse_pc_spectrum'
smooth_pc_spectrum(x, ..., sigma = 6.83, coherent = FALSE)
x |
Object to convert. By default |
... |
Provided for S3 method consistency. |
sigma |
(Numeric scalar) Standard deviation of the Gaussian distribution used to simulate perceptual blurring. Defaults to 6.83 cents, after \insertCiteMilne2016;textualhrep. |
num_harmonics |
(Integerish scalar) Number of harmonics (including the fundamental) to which each tone should be expanded. |
roll_off |
(Numeric scalar) Parametrises the amount of amplitude roll-off in the harmonics, with greater values corresponding to higher roll-off. |
coherent |
Whether the amplitudes from different spectral components should be combined
assuming coherent summation, where the amplitudes simply add together
(default is |
This representation is created by expressing the sonority
as a sparse pitch-class spectrum (see sparse_pc_spectrum
)
and convolving the result with a Gaussian distribution with standard deviation
sigma
.
This representation was inspired by milne_pc_spectrum
,
which embodies similar ideas with a slightly different implementation.
See smooth_pi_spectrum
for an equivalent representation
in the pitch domain.
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