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Praat Script To Detect Syllable Nucleiand Measure Speech Rate Automatically

机译:自动检测音节核测语音速率的Praat脚本

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摘要

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.
机译:在本文中,我们描述了一种自动检测音节核以测量语音速率而无需转录的方法。用软件程序Praat(Boersma&Weenink,2007)编写的脚本可以检测语音中的音节。强度下降之前和之后的强度峰值(dB)被认为是潜在的音节核。脚本随后会丢弃不发声的峰值。在荷兰语的两个语料库上测试此脚本的最终音节数,我们获得了从人类音节数计算出的语速与从自动确定的音节数计算出的语速之间的高度相关性。我们得出结论,以这种自动方式测量的音节数足以可靠地评估和比较参与者与任务之间的语速。

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