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Output files

Santiago Barreda edited this page Feb 25, 2021 · 11 revisions

After a completed folder analysis the working directory will contain the following folders:

  • csvs
  • formants
  • formants_edited
  • formants_winners
  • images_comparison
  • images_edited
  • images_winners
  • infos
  • infos_aggregated
  • processed_data
  • regression_infos
  • sounds

The folders contain information related to the stage of analysis when they are created. The data created at each analysis step is presented below in this order.

Track formants

File information

A file will be created called 'file_information.csv'. This file will contain information about the sound files being analyzed. If you extracted sounds form a TextGrid using the functions in Fast Track, then this is made for you already. This file contains 5 columns: file number, file name, label, group, and color. The last three are just for plotting. If you set these up to contain colors or IPA labels, Fast Track will use the information in this file to make nice plots for you when the folder analysis finishes.

formants

The formants folder contains the Praat formant analysis objects saves as plain text files. The naming convention is 'filename_N_.Formant' where 'filename' is the name of the wav file being analyzed. The N in the file name correspond to the analysis step, and the extra '_' after the 'N' is just to make my life easier. This folder will contain (total number of files) x (total analysis steps) files so you hay have a lot, but they will usually be tiny (<50 KB).

infos

The info folder contain the log files detailing the analysis carried out for each file. The folder and log files are created not but are updated as the analysis proceeds. The structure of the log files is explained here

Select Formants

images_comparison

The images_comparison folder contains images comparing the analyses for each sound. The naming convention is 'filename_comparison.png'. These files tend to be 1-2 MB each. If you have a large amount of files, (> 2000 ?) you may not want this much data for this analysis. I am going to add a function that generates these after for a subset of analyses. For an explanation of the way the figures should be interpreted, please see this page.

Get Winners

csvs

formants_winners

images_winners

infos_aggregated

regression_infos

Editing and Aggregation

processed_data

formants_edited

images_edited

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