norm_deltaF {tidynorm} | R Documentation |
Delta F Normalize
Description
Delta F Normalize
Usage
norm_deltaF(
.data,
...,
.by = NULL,
.by_formant = FALSE,
.drop_orig = FALSE,
.keep_params = FALSE,
.names = "{.formant}_df",
.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}}{S}
S = \frac{1}{MN}\sum_{i=1}^M\sum_{j=1}^N \frac{F_{ij}}{i-0.5}
Where
-
\hat{F}
is the normalized formant -
i
is the formant number -
j
is the token number
Value
A data frame of Delta F normalized formant values.
References
Johnson, K. (2020). The \Delta
F method of vocal tract length normalization for vowels.
Laboratory Phonology: Journal of the Association for Laboratory Phonology, 11(1),
Article 1. doi:10.5334/labphon.196
Examples
library(tidynorm)
ggplot2_inst <- require(ggplot2)
speaker_data_deltaF <- speaker_data |>
norm_deltaF(
F1:F3,
.by = speaker,
.names = "{.formant}_df"
)
if (ggplot2_inst) {
ggplot(
speaker_data_deltaF,
aes(
F2_df,
F1_df,
color = speaker
)
) +
stat_density_2d(
bins = 4
) +
scale_color_brewer(
palette = "Dark2"
) +
scale_x_reverse() +
scale_y_reverse() +
coord_fixed()
}