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Scripts for the acoustic-phonetic analysis of vowels
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formantDemo
README.md
cpFormants.png
cp_buildTable.R
cp_buildTableNoGui.R
cp_byHandFormants.praat
cp_formants.praat
cp_makeDico.praat
cp_makeList.praat
cp_plot2D.praat

README.md

CminR-Praatik

I wrote these Praat and R scripts for a doctoral seminar I teach at Université Paris Diderot. My aim was to establish a consistent workflow to manually measure vowel formants.

Getting started

The easiest way to start with the programs is to use the demo files in the folder formantDemo :

Make sure Praat is installed on your computer

Download cp_formants.praatand the formantDemo folder

Edit file.txt and adapt the paths to your own directories

Run cp_formants.praat :

  • when prompted to load a file list, choose file.txt
  • when prompted to load the dictionary file, choose dico.txt
  • the annotion is on tier number 1 for this example
  • you should be able to see a GUI looking like this:

If you are a Praat user, the parameters in the GUI are self-explanatory. If the estimated formant tracks in red match the formants on the spectrogram, click Next. Otherwise, you can adjust the estimate by e.g. increasing or decreasing the maximum frequency (you can use the arrow keys on your keyboard to do this).

Output and analysis

For better results, your initial sound and TextGrid files should have consistent names with fields separated by underscores as in e.g. EN_spk01_reading.wav, FR_spk01_reading.wav, etc.

cp_formants.praat creates a folder called output that contains the estimated formant tracks.

When you run the R script cp_BuildTable.R you'll be prompted to load the list of formant files, then it'll split file names according to the underscores and ask you to provide generic names for the fields delimited by underscores. Say yes to the following 2 dialog boxes, and two new variables will be created in your R worskpace : dataList(a list object) and phonData, a dataframe containing formant values taken at temporal midpoint.

In order to make sure that everything went fine, type: head(phonData) and you should see the first lines of your dataframe. The R package phonR is a good option to analyze this dataframe.

The data in the dataList variable can be accessed as follows:

dataList[[1]]$data$F1Hz contains the F1 values for the 1st vowel in the dataset

dataList[[1]]$metadata$symbolASCII contains the symbol of the 1st vowel in the dataset

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