norm_lobanov {tidynorm} | R Documentation |
Lobanov Normalize
Description
Lobanov Normalize
Usage
norm_lobanov(
.data,
...,
.by = NULL,
.by_formant = TRUE,
.drop_orig = FALSE,
.keep_params = FALSE,
.names = "{.formant}_z",
.silent = FALSE
)
Arguments
.data |
A data frame containing vowel formant data |
... |
|
.by |
|
.by_formant |
Ignored by this procedure |
.drop_orig |
Whether or not to drop the original formant data columns. |
.keep_params |
Whether or not to keep the Location ( |
.names |
A |
.silent |
Whether or not the informational message should be printed. |
Details
\hat{F}_{ij} = \frac{F_{ij} - L_i}{S_i}
L_i = \frac{1}{N}\sum_{j=1}^{N}F_{ij}
S_i = \sqrt{\frac{\sum(F_{ij}-L_i)^2}{N-1}}
Where
-
\hat{F}
is the normalized formant -
i
is the formant number -
j
is the token number
Value
A data frame of Lobanov normalized formant values.
References
Lobanov, B. (1971). Classification of Russian vowels spoken by different listeners. Journal of the Acoustical Society of America, 49, 606–608.
Examples
library(tidynorm)
ggplot2_inst <- require(ggplot2)
speaker_data_lobanov <- speaker_data |>
norm_lobanov(
F1:F3,
.by = speaker,
.names = "{.formant}_z"
)
if (ggplot2_inst) {
ggplot(
speaker_data_lobanov,
aes(
F2_z,
F1_z,
color = speaker
)
) +
stat_density_2d(
bins = 4
) +
scale_color_brewer(
palette = "Dark2"
) +
scale_x_reverse() +
scale_y_reverse() +
coord_fixed()
}