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Praat script to detect syllable nuclei and measure speech rate automatically
by
de Jong, Nivja H.
, Wempe, Ton
in
Automation
/ Behavioral Science and Psychology
/ Children & youth
/ Cognitive Psychology
/ Computer Generated Language Analysis
/ Computer Software
/ Dutch
/ Dutch language
/ Humans
/ Intensity
/ Language disorders
/ Memory
/ Programming Languages
/ Psychology
/ Speech
/ Speech - physiology
/ Speech disorders
/ Speech Rate
/ Speech Recognition Software
/ Studies
/ Syllable Structure
/ Syllables
/ Voice Recognition
/ Voicing
2009
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Praat script to detect syllable nuclei and measure speech rate automatically
by
de Jong, Nivja H.
, Wempe, Ton
in
Automation
/ Behavioral Science and Psychology
/ Children & youth
/ Cognitive Psychology
/ Computer Generated Language Analysis
/ Computer Software
/ Dutch
/ Dutch language
/ Humans
/ Intensity
/ Language disorders
/ Memory
/ Programming Languages
/ Psychology
/ Speech
/ Speech - physiology
/ Speech disorders
/ Speech Rate
/ Speech Recognition Software
/ Studies
/ Syllable Structure
/ Syllables
/ Voice Recognition
/ Voicing
2009
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Do you wish to request the book?
Praat script to detect syllable nuclei and measure speech rate automatically
by
de Jong, Nivja H.
, Wempe, Ton
in
Automation
/ Behavioral Science and Psychology
/ Children & youth
/ Cognitive Psychology
/ Computer Generated Language Analysis
/ Computer Software
/ Dutch
/ Dutch language
/ Humans
/ Intensity
/ Language disorders
/ Memory
/ Programming Languages
/ Psychology
/ Speech
/ Speech - physiology
/ Speech disorders
/ Speech Rate
/ Speech Recognition Software
/ Studies
/ Syllable Structure
/ Syllables
/ Voice Recognition
/ Voicing
2009
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Praat script to detect syllable nuclei and measure speech rate automatically
Journal Article
Praat script to detect syllable nuclei and measure speech rate automatically
2009
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Overview
In this article, we describe a method for automatically detecting syllable nuclei in order to measure speech rate without the need for a transcription. A script written in the software program Praat (Boersma & Weenink, 2007) detects syllables in running speech. Peaks in intensity (dB) that are preceded and followed by dips in intensity are considered to be potential syllable nuclei. The script subsequently discards peaks that are not voiced. Testing the resulting syllable counts of this script on two corpora of spoken Dutch, we obtained high correlations between speech rate calculated from human syllable counts and speech rate calculated from automatically determined syllable counts. We conclude that a syllable count measured in this automatic fashion suffices to reliably assess and compare speech rates between participants and tasks.
Publisher
Springer-Verlag,Psychonomic Society, Inc
Subject
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