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A library for working with praat, textgrids, time aligned audio transcripts, and audio files.

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A library for working with praat, time aligned audio transcripts, and audio files that comes with batteries included. Praat uses a file format called textgrids, which are time aligned speech transcripts. This library isn’t just a data struct for reading and writing textgrids–many utilities are provided to make it easy to work with with transcripts and associated audio files. This library also provides some other tools for use with praat.

Praat is an open source software program for doing phonetic analysis and annotation of speech. Praat can be downloaded here

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1 Common Use Cases

What can you do with this library?

  • query a textgrid to get information about the tiers or intervals contained within:

    tg = tgio.openTextGrid("path_to_textgrid")
    entryList = tg.tierDict["speaker_1_tier"].getEntries() # Get all intervals
    entryList = tg.tierDict["phone_tier"].find("a") # Get all instances of 'a'
  • create or augment textgrids using data from other sources

  • found that you clipped your audio file five seconds early and have added it back to your wavefile but now your textgrid is misaligned? Add five seconds to every interval in the textgrid:

    tg = tgio.openTextGrid("path_to_textgrid")
    moddedTG = tg.editTimestamps(5, 5, 5)'output_path_to_textgrid')
  • manipulate an audio file based on information in a textgrid:

    see splitAudioOnTier() in /praatio/
  • remove all intervals (and associated intervals in other tiers) that don’t match a query.:

    # This would remove all words that are not content words from the word_tier
    # and also remove their associated phone listings in the phone_tier
    tg = tgio.openTextGrid("path_to_textgrid")
    >> ["word_tier", "phone_tier"]
    subTG = tg.getSubtextgrid("word_tier", isContentWord, True)'output_path_to_textgrid')
  • utilize the klattgrid interface to raise all speech formants by 20% (among other possible manipulations):

    tg = tgio.openTextGrid("path_to_textgrid")
    incrTwenty = lambda x: x * 1.2
    kg.tierDict["oral_formants"].modifySubtiers("formants",incrTwenty), "bobby_twenty_percent_less.KlattGrid"))
  • replace labeled segments in a recording with silence or delete them

    see /examples/

  • use set operations (union, intersection, difference) on textgrid tiers

    see /examples/

2 Tutorials

There are tutorials available for learning how to use PraatIO. These are in the form of IPython Notebooks which can be found in the /tutorials/ folder distributed with PraatIO.

You can view them online using the external website Jupyter:

Tutorial 1: An introduction and tutorial

3 Major revisions

Ver 3.6 (May 05, 2017)

  • Major clean up of tgio

    • Ver 3.6 is not backwards compatible with previous versions of PraatIO. Lots of changes to tgio.

  • Tutorials folder added

Ver 3.5 (April 04, 2017)

  • Added code for reading, writing, and manipulating audio files (praatio.audioio)

  • eraseRegion() and insertRegion() added to textgrids and textgrid tiers

Ver 3.4 (February 04, 2017)

  • Added place for very specific scripts (praatio.applied_scripts)

    • added code for using with input and output textgrids to SPPAS, a forced aligner

  • Lots of minor features and bugfixes

Ver 3.3 (June 27, 2016)

  • Find zero-crossings in a wave file

    • for shifting all boundaries in a textgrid see praatio_scripts.tgBoundariesToZeroCrossings()

    • for finding individual zero crossings, see praatio_scripts.findNearestZeroCrossing()

  • Pitch features

    • pitch extraction is now ten times faster

    • automatic pitch halving/doubling detection

    • median filtering

  • Textgrid features

    • set operations over two tiers (union, difference, or intersection)

    • erase a section of a textgrid (and a section of the corresponding wave file)

  • Extraction of pitch formants using praat

  • Lots of small bugfixes

Ver 3.2 (January 29, 2016)

  • Float precision is now preserved in file I/O

  • Integration tests added; using Travis CI and Coveralls for build automation.

  • Lots of small bugfixes

  • Moved point processes into 1D and 2D point objects

Ver 3.1 (December 16, 2015)

  • Support for reading/writing point processes

Ver 3.0 (November 10, 2015)

  • Support for reading and writing klattgrids

Ver 2.1 (July 27, 2015)

  • Addition of where commonly used scripts will be placed

  • Import clash led to being renamed to

Ver 2.0 (February 5, 2015)

  • Support for reading, writing, and manipulating point tiers

  • Ported to python 3

  • Major cleanup/reorganizing of code

Ver 1.0 (August 31, 2014)

  • Reading and writing of textgrids

  • Support for reading, writing, and manipulating interval tiers

4 Requirements

Python 2.6.* or above

Python 3.3.* or above (actually, probably any version of python 3)

Click here to see the specific versions of python that praatIO is tested under

5 Usage

99% of the time you’re going to want to run:

from praatio import tgio
tg = tgio.openTextGrid(r"C:\Users\tim\Documents\transcript.TextGrid")

Or if you want to work with KlaatGrid files:

from praatio import kgio
kg = kgio.openKlattGrid(r"C:\Users\tim\Documents\transcript.KlattGrid")

See /test for example usages

6 Installation

If you on Windows, you can use the installer found here (check that it is up to date though) Windows installer

PraatIO is on pypi and can be installed or upgraded from the command-line shell with pip like so:

pip install praatio --upgrade

Otherwise, to manually install, after downloading the source from github, from a command-line shell, navigate to the directory containing and type:

python install

If python is not in your path, you’ll need to enter the full path e.g.:

C:\Python27\python.exe install

7 Citing praatIO

PraatIO is general purpose coding and doesn’t need to be cited but if you would like to, it can be cited like so:

Tim Mahrt. PraatIO., 2016.

8 Acknowledgements

Development of PraatIO was possible thanks to NSF grant BCS 12-51343 to Jennifer Cole, José I. Hualde, and Caroline Smith and to the A*MIDEX project (n° ANR-11-IDEX-0001-02) to James Sneed German funded by the Investissements d’Avenir French Government program, managed by the French National Research Agency (ANR).

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