Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A Tutorial
In clinical research, the dependence of the results on the methods used is frequently discussed. In research on nonverbal synchrony, human ratings or automated methods do not lead to congruent results. Even when automated methods are used, the choice of the method and parameter settings are importan...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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PsychOpen GOLD/ Leibniz Institute for Psychology
2023-09-01
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| Series: | Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.5964/meth.9375 |
| _version_ | 1827355605210234880 |
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| author | Désirée Schoenherr Alisa Shugaley Franziska Roller Lukas A. Knitter Bernhard Strauss Uwe Altmann |
| author_facet | Désirée Schoenherr Alisa Shugaley Franziska Roller Lukas A. Knitter Bernhard Strauss Uwe Altmann |
| author_sort | Désirée Schoenherr |
| collection | DOAJ |
| description | In clinical research, the dependence of the results on the methods used is frequently discussed. In research on nonverbal synchrony, human ratings or automated methods do not lead to congruent results. Even when automated methods are used, the choice of the method and parameter settings are important to obtain congruent results. However, these are often insufficiently reported and do not meet the standard of transparency and reproducibility. This tutorial is aimed at researchers who are not familiar with the software Praat and R and shows in detail how to extract acoustic features like fundamental frequency or speech rate from video or audio files in conversations. Furthermore, it is presented how vocal synchrony indices can be calculated from these characteristics to represent how well two interaction partners vocally adapt to each other. All used scripts as well as a minimal example, can be found on the Open Science Framework and Github. |
| first_indexed | 2024-03-08T04:45:38Z |
| format | Article |
| id | doaj.art-3f7343aadbf54d24b91d16816e63f40f |
| institution | Directory Open Access Journal |
| issn | 1614-2241 |
| language | English |
| last_indexed | 2024-03-08T04:45:38Z |
| publishDate | 2023-09-01 |
| publisher | PsychOpen GOLD/ Leibniz Institute for Psychology |
| record_format | Article |
| series | Methodology |
| spelling | doaj.art-3f7343aadbf54d24b91d16816e63f40f2024-02-08T10:51:08ZengPsychOpen GOLD/ Leibniz Institute for PsychologyMethodology1614-22412023-09-0119328330210.5964/meth.9375meth.9375Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A TutorialDésirée Schoenherr0https://orcid.org/0000-0001-8919-6908Alisa Shugaley1Franziska Roller2Lukas A. Knitter3https://orcid.org/0000-0002-3454-7165Bernhard Strauss4Uwe Altmann5https://orcid.org/0000-0002-3429-2895University Hospital Jena, Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, Jena, GermanyUniversity Hospital Jena, Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, Jena, GermanyUniversity Hospital Jena, Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, Jena, GermanyUniversity Hospital Jena, Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, Jena, GermanyUniversity Hospital Jena, Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, Jena, GermanyUniversity Hospital Jena, Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, Jena, GermanyIn clinical research, the dependence of the results on the methods used is frequently discussed. In research on nonverbal synchrony, human ratings or automated methods do not lead to congruent results. Even when automated methods are used, the choice of the method and parameter settings are important to obtain congruent results. However, these are often insufficiently reported and do not meet the standard of transparency and reproducibility. This tutorial is aimed at researchers who are not familiar with the software Praat and R and shows in detail how to extract acoustic features like fundamental frequency or speech rate from video or audio files in conversations. Furthermore, it is presented how vocal synchrony indices can be calculated from these characteristics to represent how well two interaction partners vocally adapt to each other. All used scripts as well as a minimal example, can be found on the Open Science Framework and Github.https://doi.org/10.5964/meth.9375reproducibilityvocal synchronypraat pitch extractionnonverbal synchronyspeech rate |
| spellingShingle | Désirée Schoenherr Alisa Shugaley Franziska Roller Lukas A. Knitter Bernhard Strauss Uwe Altmann Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A Tutorial Methodology reproducibility vocal synchrony praat pitch extraction nonverbal synchrony speech rate |
| title | Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A Tutorial |
| title_full | Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A Tutorial |
| title_fullStr | Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A Tutorial |
| title_full_unstemmed | Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A Tutorial |
| title_short | Extracting Vocal Characteristics and Calculating Vocal Synchrony Using Praat and R: A Tutorial |
| title_sort | extracting vocal characteristics and calculating vocal synchrony using praat and r a tutorial |
| topic | reproducibility vocal synchrony praat pitch extraction nonverbal synchrony speech rate |
| url | https://doi.org/10.5964/meth.9375 |
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