added praat into the pipeline, using a script for silence detection with the added bonus of syllable detection and therefore speech rate which is a component of prosody. the script is from https://sites.google.com/site/speechrate/Home/praat-script-syllable-nuclei-v2
tested praat connection and output is working
adding files from laptop praat and r analysis
commiting praat files currently being served
added sample file which shows how to rename file suffixes in bash, how to turn mp3 into wav, and how to run the syllable nuclei script on a directory with low memory consumption
saved textgrids for quality control later on to review wher script detected phonatino and syllables
Updating .gitignore file to exclude videos and extracted audio files. Adding package.json with new node.js requirements. Adding new shell script to extract audio and create a basic TextGrid. Adding praat scripts.
Now returning a URL pointing to a folder, rather than a specific generated MP3 file. Includes new .praat script for TextGrid generation.
Verification of test-only praat files.
refactored audio upload for textgrid into lib files
moved textgrid generation into audio lib

textgrid is now finding utterances reasonably well
returning stats as json instead of csv
using response.sendfile(fileWithPath) and adding versions

fixes https://github.com/OpenSourceFieldlinguistics/FieldDB/issues/1466
Merge branch 'nodejssphinx'

Conflicts:
	save_labeled_intervals_to_wav_sound_files.praat
	save_selection_to_sound_and_textgrid.praat