Room using a head-mounted microphone, and remotely using the participants’ mobile phones.ĬPP values were extracted using Praat (Boersma & Weenink, 2023) and subsequentlyĪnalysed using a complex mixed-effect ANOVA, with two within-subject factors (recordingĬondition, speech task) and one between-subject factor (gender). Recordings were completed onsite in a sound insulated Participants produced a number of speech tasks (sustained vowels and sentences withĭifferent segmental composition). Method: Thirty four participants aged between 18 and 24 years were recruited (28 female). It aims to fill the gap with regard to CPP data collected remotely. This study aims to establish normative data for CPP for youngĪdults in Ireland and to determine the extent of CPP variability across genders, speech tasksĪnd recording conditions.
How to use praat for cepstral peak prominence software#
Vary significantly with recording conditions, analysis software used, speech tasks, and the ageĪnd gender of the speaker. Which clinicians would compare disordered voice analysis data. Limited due to its relative conceptual complexity and also the lack of normative data against Measure of dysphonia in clinical voice assessment (Patel et al., 2018). & Yanushevskaya, I., Establishing Cepstral Peak Prominence (CPP) normative data for young adults in Ireland: the impact of gender, speech task and recording conditions, ICPLA 2023, Salzburg, Austria, July 4-7, 2023, 2023īackground: Cepstral Peak Prominence (CPP) is currently recommended as a robust
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