With speakr, you can run Praat scripts in R and capture their infoLine
output.
You can install the released version of speakr from CRAN with:
install.packages("speakr")
If you want to install a stable(ish) development version, use:
remotes::install_github("stefanocoretta/speakr@devel", build_vignettes = TRUE)
For a quick start, check out the vignette with:
vignette("run-praat", "speakr")
On macOS, Linux and Windows, the path to praat is set automatically to the default installation path. If you have installed Praat in a different location, or if your operating system is not supported, you can set the path to Praat with options(speakr.praat.path)
.
For example:
options(speakr.praat.path = "./custom/praat.exe")
You can either run this command every time you start a new R session, or you can add the command to your .Rprofile
(recommended).
Use prat_run()
to run a Praat script, and capture = TRUE
to capture the output of the write/appendInfoLine
commands in the script. Everything is set in the Praat script as usual, so you don’t have to learn a new language to perform tasks you already know how to perform.
script <- system.file("extdata", "get-formants-args.praat", package = "speakr")
formants <- praat_run(script, "Hertz", 0.03, capture = TRUE) %>%
read_csv()
#> Rows: 5 Columns: 4
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (1): vowel
#> dbl (3): F1, F2, F3
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Let’s check the tibble formants
.
formants
#> # A tibble: 5 × 4
#> vowel F1 F2 F3
#> <chr> <dbl> <dbl> <dbl>
#> 1 a 784. 1391. 2433.
#> 2 e 417. 2042. 2424.
#> 3 i 259. 2232. 2819.
#> 4 o 562. 855. 2463.
#> 5 u 434. 1331. 2816.
And let’s make a vowel plot.
You can plot a sound file and TextGrid using Praat’s plotting facilities.
wav <- system.file("extdata", "vowels.wav", package = "speakr")
praat_plot("vowels.png", wav, f0 = T, f0_max = 200, end = 3)
You can include the plot in an Rmarkdown file with knitr.
knitr::include_graphics("man/figures/vowels.png")