Praat script to detect syllable nuclei and measure speech rate automatically

By Nivja H. de Jong, Ton G. Wempe. Behavior Research Methods, 2009

631 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/797241af32e8684a106cc7bc38e3a565c63ae52a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Gregory A. Bryant
2. N. D. Jong
3. Tanya Broesch

In Experimental and Cognitive Psychology

1. Gregory A. Bryant
2. N. D. Jong
3. Tanya Broesch

Citations in the corpus

• Fluency in Second Language Testing: Insights From Different Disciplines (2018, background): “For instance, there are now ways to calculate measures, such as speech rate and silent pauses, automatically, without the need to carry out an orthographic transcription (De Jong & Wempe, 2009; Dekens, Martens, Van Nuffelen, De Bodt, & Verhelst, 2014; Little, Oehmen, Dunn, Hird, & Kirsner, 2013).”
• Prosody in Infant-Directed Speech Is Similar Across Western and Traditional Cultures (2015, methodology): “Speech rate analysis was conducted on the edited clips of ID and AD recordings using a Praat script that detects syllable nuclei automatically (De Jong & Wempe, 2009) and generates syllables-per-second output.”