This script is designed to parse and process .its files, extracting various types of utterance information from these files, and saving outputs as CSV files for further analysis. It supports processing individual files as well as batch processing of all .its files within a specified directory.
- Python 3.6 or higher
- Libraries:
pandas,lxml,argparse,os,numpy
Make sure to install the necessary Python packages if not already installed:
pip install pandas lxml numpy-for--file: Path to a specific.itsfile to process.-dor--directory: Directory to process all.itsfiles from.-oor--output: Output directory for storing the results.
If no command line arguments are provided, the script will default to processing all .its files located in the same directory as the script and store the results under the current working directory.
-
Processing a Single File:
python master_LENA_v2.py -f path/to/your/file.its -o path/to/output/dir
-
Processing All Files in a Directory:
python master_LENA_v2.py -d path/to/your/directory -o path/to/output/dir
CSV files will be generated in the same directory as the input file(s), under a sub-directory named after the child ID found in the file name. For each .its file, the following CSV files will be created:
<child_id>_CHN_timestamps.csv<child_id>_FAN_timestamps.csv<child_id>_MAN_timestamps.csv<child_id>_OLN_timestamps.csv<child_id>_OLF_timestamps.csv<child_id>_CTC_timestamps.csv<child_id>_its_info.csv
Ensure all input .its files are well-formed and accessible. Check that your Python environment has the necessary permissions to read from the input locations and write to the output directories.