textgrid

Read, write, and manipulate Praat TextGrid files with Python

Praat TextGrid Objects in R

R package for phonetic research and experimenting

Gentle and praatio scripts for easy forced alignment

Scripts for computing common lyrics-to-audio alignment evaluation metrics. Usable evaluation for any token-based alignment (e.g. if token is word, phrase, note, section etc.) User for the evaluation of the MIREX Lyrics-to-audio challenge

A Praat script for creation of pictures (waveform, spectrogram, pitch contour, aligned with a textgrid). It creates figures in PNG PDF wmf eps, PraatPic, of all the Sound and TextGrid files it finds in a folder. The pictures contain a waveform (optional), a spectrogram(optional), the F0 track optional and a the content of the tiers of the TextGrid associated with the sound file optional

DFDL schemas Praat TextGrid

Some useful functions for mobile eyetracking data analysis

An enhanced automatic stylizer for pitch (contour) of speech corpora derived from SLAM.

This program provides methods to modify TextGrids (.TextGrid) and their corresponding audio files (.wav).

A simple Praat script for simultaneously trimming TextGrids and audio

python library and command line utilities for manipulating Textgrid data.

Basic utilities to manipulate TextGrid objects (Mirror)

Script using PraatR to extract and analyze data from annotated sound files. Work in progress.

stream non-public data from TextGrid Repository

MaSCoT is a Praat tool developed to facilitate searching, extracting and analyzing information contained in large, richly-annotated speech corpora developed in Praat. This version is for single TextGrid/WAV pairs.

A toolbox for manipulating praat textgrid in python: creation, modification, analysis

A python package for creating, reading, writing and querying Praat annotation files (TextGrid)

Massive Speech Corpus Tool - Recursive (MaSCoT-R) is a Praat script for working with very large speech corpora

A set of Praat scripts to analyze vowels: 1) extracting data (F0, F1, F2, F3, F4, interval duration (ms) and intensity (dB)) and 2) extracting whole formant data. Scripts for extracting data from point tiers are also avaliable