_images/krajjat_logo_black_cropped.png

Welcome on the Krajjat documentation!

What is Krajjat?

Krajjat is a Python package developed for processing motion capture data, and finding relationships between the rhythmicity of the tracked movements and of the acoustic components of the speech. The toolbox allows to:

Pre-process the motion capture sequences, via functions for de-jittering, re-referencing, trimming, resampling, and interpolating missing data. See more details here.

Get basic information about the sequences, via e.g. print_stats().

Get acoustic components of the speech, such as the envelope, the intensity, the pitch, or one of the formants.

Convert the sequences and save them in different formats (.json, .xlsx, .txt, .csv, .tsv or .mat), using save().

Display the sequences (sequence_reader()), compare them side-by-side or superimposed (sequence_comparer()), and save them as video files (save_video_sequence()).

Plot the movement or acoustic variables, either for a single joint or for all of them.

Perform statistical analyses on the relationship between motion capture sequences and speech (analysis functions).

Where do I start?

Start here to install the toolbox as a Python module. Once it is done, you can follow an example provided here.