With praat_plot(), you can create plots of the waveform and spectrogram of a sound file, and add annotation from a TextGrid file.

Start by loading the package if you haven’t already.

Basic plot

The minimal plot includes a waveform and a spectrogram of a sound file.

# The sound file.
wav <- system.file("extdata", "vowels.wav", package = "speakr")

praat_plot("vowels.png", wav, end = 3, tg = FALSE)

Plot with TextGrid

You can include annotation from a TextGrid file. You can specify the path to the TextGrid with the tg argument. If tg is set to NULL (the default) the function will search for a TextGrid file with the same base name as the wav file, and if it finds one it will add it to the plot.

praat_plot("vowels-tg.png", wav, end = 3, tg = NULL)

f0 track

You can add a track of f0 by setting f0 = TRUE.

praat_plot("vowels-tg-f0.png", wav, end = 3, tg = NULL, f0 = TRUE)

Further customisation

Due to the extreme flexibility of the Praat plotting facilities, it is not that straightforward to include all the possible parameters in a single function.

If you would like to customise the plot further, you can run use_praat_plot_script("plot.praat") which will copy the Praat plotting script used in praat_plot() on disk (in the path you specify in the function), so that you can make any changes to the script and then run it with praat_run() as you would with any other Praat script.

Include plots in Rmarkdown

To include a plot created with praat_plot() you can use knitr::include_graphics("your-plot.png").