under construction

ema2wav is a tool for converting articulatory data into multi-channel wave files. These files can be displayed, annotated and analyzed in waveform editors like PRAAT. It may be used for teaching and research. Originally, I wrote the code basis at the beginning of my PhD in order to work with EMA data, but I developed it further in collaboration with Simon Roessig into this little, freely available and open-source tool, that may help to make EMA data accessible without programming knowledge and to work with this kind of data in a familiar environment for phonetic data analysis. Find more information and obtain a copy on the GitHub repository. See also our Interspeech paper and the corresponding poster.

A PRAAT script that extracts the following measurements for all given segments and for all wav and TextGrid files in a directory:

• Segment duration
• f0
• Formants 1-5
• Spectral moments (CoG, SD, Skewness, Kurtosis)

All measurements except duration are extracted at the mid of the segment.

This PRAAT scripts extracts the following measurements:

• f0
• Formants 1-5
• intensity

at equally-distanced steps during the entire target segment and for all files in a given directory.

This python script converts PRAAT TextGrids into .csv files. It works out-of-the-box, no additional packages are required.