Praat Analysis
Praat is an open-source program for the analysis of speech in phonetics, created by Paul Boersma and David Weenink of the University of Amsterdam. Latest updates Added command ' Combined processes '. General vowel acoustics script for Praat (version 2.0) which extracts mean formant values, the first four spectral moments, and F0 dynamically across a duration defined by the textgrid. Duration is also extracted. The number of interval values extracted is equal to the value 'numintervals.' This script works iteratively across a directory.
In this study we focused on acoustic voice analysis. The purpose of the present study was to correlate the results obtained by the commercial software Dr. Speech and the free software Praat in 2 fields: 1. Narrow-band spectrogram (the presence of noise according to Yanagihara, and the presence of subharmonics) (semi-quantitative).
Scripts and batch processes are a handy way of saving time while performing repetitive operations. In this page we share some of the Praat scripts we use in our Lab.
All the scripts include instructions (either at the begining of the file or in the first form of the script).
To download the Praat script, right-click on the link to the script and select 'Save link as...'.
If you don't find the script you are looking for, you can write us and maybe we have one that suits you and it is not uploaded. If the script does not exist yet, we can script it for you.
Praat scripts
eti_ToBI: An automatic transcriber for Spanish and Catalan intonation using the Sp_ToBI and Cat_ToBI conventions.
Praat Analysis Window
create_pictures v.4.4: This script creates and saves pictures (PNG, PDF, wmf, eps, PraatPic) of all the sound files it finds in a folder. The pictures contain a waveform, a spectrogram, an optional F0 track and opcionally the content of the tiers of the TextGrid associated to the sound file.
Mandarin_Chinese_tones_transcriber: This is a first beta. Needs a wav sound and a textgrid with intervals. It can serve as a helper for transcription but its performance is far from perfect.
Editing, manipulation and sound segmenters
edit_sound_files: This script runs through all the files in a folder and allows you to convert the stereo sounds into mono, resample the files, normalize intensity and remove noise. Beware! It removes noise everytime you use it, your sound can become metallic.
modifies_duration: Modifies duration of a selected Sound neutralizes_pitch: Manipulates pitch in order to be a constante value of X Hertzs.
extract_and_save_intervals: This script extracts and saves intervals in an independent sound file, the new files will have the same name/label as the intervals.
TextGrid annotation and modification for all the files in a folder
blank_TextGrid_creation: Creates TextGrids for all the Sounds in a folder.
created_TextGrid_modification: Opens a created TextGrid with its related sound, gives you time to correct it and saves the TextGrid with the modifications.
segmentation_helper: This script goes through all the wavs in a folder and annotates them (sound by sound in IPA). It needs the ortographic transcription of the wav content. It will write the same label (sentence) in the TextGrid for all the wavs in the folder. If you want to annotate a corpus that has a different content depending on the file name, check Mietta Lennes scripts, SPASS or EasyAlign.
remove_tiers: This script runs through all the Textgrids in a folder and removes the number of tiers you select and those below it
add_tiers: It adds new interval or point tiers for all the TextGrids in a folder.
Data analysis
point_label_extraction: Works for all the files in a folder. Writes in a txt every point label and it writes its correspondent interval. In order to run it needs a TextGrid with ar least 1 interval tier and 1 point tier.
extracts_f0_from_points: Works for all the files in a folder. Writes in a txt point labels, time of point and F0 on point. Needs a .wav and textgrid with at least 1 point tier. The output is a tab separated file.
extracts_f0_from_points_and_corresponding_label_in_interval_tier: Works for all the files in a folder. Writes in a txt point labels, time of point, F0 on point and label in a matching interval tier. Needs a .wav and textgrid with at least 1 point tier and 1 interval tier. The output is a tab separated file.
extracts_vowel_data: Works for all the files in a folder. Extracts F0, F1, F2, F3, F4, duration and intensity for all intervals that have a label with a vowel symbol.
prosodic_data_extraction.praat v. 2.2: This script can get duration, intensity and 3 F0 (Hz and st) values for each non-empty interval it finds in the tier. It can also extract the corresponding labels for . Then it saves the values in a tab-separated txt, which you can easily open with Excel.
zero-crossings-and-spectral-moments: Script created for analysing fricatives. This script goes through all the files in a folder and gets (for non-empty-intervals or intervals that match a label) zero-crossings and spectral moments.
ltas_data: Writes Ltas values from all files in a folder in a txt that can be opened with Excel.
save_perception_results: This script extracts the results of all the perception test that are in the objects list, then sorts them by stimulus and saves a txt file with the name you indicate.
Praat Analysis
Other tools
list_files: Writes a list with all *wav or/and *TextGrid that finds in a folder.
Utilities for Amper members
segmentador.praat: Automatic segmenter for the Amper's project fixed corpus. It identifies sentences out of a large .wav sound and extracts it sentence with its corresponding code. In order to use it, you need to have a txt with the codes in the order that you have recorded them.
copy_Amper_folder_without_expansion_files.praat: This script copies all the files belonging to the sentences without expansions from the 'permanent' Amper corpus.
Praat Voice Analysis Software
Praat Software For Voice Analysis
Amper_txt_Hz_to_St.R: This script goes through all the Amper files in a folder and converts the F0 in Hertz data in St data.