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Praat: Overview, Related Topics & Entities

Praat (/prɑːt/ PRAHT; Dutch: ⓘ transl. "Talk") is a free, open-source computer software package widely used for speech analysis and synthesis in phonetics and other fields of linguistics. The software was developed and is maintained by Paul Boersma and David Weenink at the University of Amsterdam, and is compatible most major operating systems, including…

Language: English [EN]
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Praat topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Praat.

Related topics
17
Source areas
1
Connected nodes
18
Extracted relationships
10
Related term clusters
17
Bridge connections
18

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 17 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
English
Developers
Paul Boersma and David Weenink
License
GPL-3.0-or-later
Operating system
Windows, Linux, Macintosh, FreeBSD, Solaris
Release
1992
Repository
github.com/praat/praat

Start with your topic. Discover where to go next.

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Praat connects Entity context

The extracted context around Praat shows recurring relationship patterns in the source. For example, Praat → English Another extracted example is Praat → Paul Boersma and David Weenink. Use these groups to spot repeated connection types before inspecting the individual relationships.

Praat

Top relations

Available in · 1
Praat → English
Developers · 1
Praat → Paul Boersma and David Weenink
License · 1
Praat → GPL-3.0-or-later
Operating system · 1
Praat → Windows, Linux, Macintosh, FreeBSD, Solaris
Release · 1
Praat → 1992
Repository · 1
Praat → github.com/praat/praat
Stable release · 1
Praat → 7.0.01 / 18 August 2026; 6 days ago (18 August 2026)
Type · 1
Praat → Free software
Website · 1
Praat → www.praat.org
Written in · 1
Praat → C, C++, Objective-C

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

software formants free lingala linux used analysis synthesis including well sounds users windows references paul boersma david weenink operating pitch

Praat relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Praat. Examples in this analysis include Praat → Available in → English and Praat → Developers → Paul Boersma and David Weenink. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
PraatAvailable inEnglish1.00infobox
PraatDevelopersPaul Boersma and David Weenink1.00infobox
PraatLicenseGPL-3.0-or-later1.00infobox
PraatOperating systemWindows, Linux, Macintosh, FreeBSD, Solaris1.00infobox
PraatRelease19921.00infobox
PraatRepositorygithub.com/praat/praat1.00infobox
PraatStable release7.0.01 / 18 August 2026; 6 days ago (18 August 2026)1.00infobox
PraatTypeFree software1.00infobox
PraatWebsitewww.praat.org1.00infobox
PraatWritten inC, C++, Objective-C1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Praat bring nearby vocabulary together. In this analysis, examples include References, Used and Well. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Praat
    • References
    • Used
    • Well
    • Formants
    • Lingala
    • Software
    • Github
    • Infobox
    • Ipa-label-small
    • Mw-parser-output
    • Navbox
    • Phonetics
  • praat
    • References
    • Used
    • Well
    • Formants
    • Lingala
    • Software
    • Github
    • Infobox
    • Ipa-label-small
    • Mw-parser-output
    • Navbox
    • Phonetics
  • vowel formants
    • Pitch
    • Lingala
    • Github
    • Praat
    • Spectrograms
    • Voicing
    • Waveforms
    • Website
    • Free
    • Including
    • Linux
    • Operating
  • computer software
    • Boersma
    • David
    • Linux
    • Operating
    • Paul
    • Weenink
    • Windows
    • Github
    • Mac
    • Phonetics
    • Unix
    • Website
  • speech analysis
    • Synthesis
    • Dutch
    • Font-size
    • Infobox
    • Ipa-label-small
    • Mw-parser-output
    • Navbox
    • Phonetics
    • Portal
    • Praht
    • Prɑːt
    • Free
  • paul boersma
    • Boersma
    • David
    • Linux
    • Operating
    • Paul
    • Weenink
    • Windows
    • Software
    • Github
    • Mac
    • Unix
    • Website
  • microsoft windows
    • Boersma
    • David
    • Linux
    • Operating
    • Paul
    • Weenink
    • Software
    • Github
    • Mac
    • Unix
    • Website
    • Free
  • david weenink
    • Linux
    • Operating
    • Paul
    • Weenink
    • Windows
    • Software
    • Github
    • Mac
    • Unix
    • Website
    • Free
    • Including

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Praat map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Praat

Nodes19
Edges18
Triples10
Avg. degree1.89
Density0.105263
Components1

Source & methodology

TTTA analyzes the structure around Praat to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Praat · EN edition · Analysis: TopicsToTalkAbout

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