Comparing acoustic analyses of speech data collected remotely

This dataset contains the supporting data for the following article:

Zhang, C., Jepson, K.M., Lohfink, G. & Arvaniti, A. (2021). Comparing acoustic analyses of speech data collected remotely. The Journal of the Acoustical Society of America, 149 (6), 3910-3916. doi: https://doi.org/10.1121/10.0005132

Face-to-face speech data collection has been next to impossible globally as a result of the COVID-19 restrictions. To address this problem, simultaneous recordings of three repetitions of the cardinal vowels were made using a Zoom H6 Handy Recorder with an external microphone (henceforth, H6) and compared with two alternatives accessible to potential participants at home: the Zoom meeting application (henceforth, Zoom) and two lossless mobile phone applications (Awesome Voice Recorder, and Recorder; henceforth, Phone). F0 was tracked accurately by all of the devices; however, for formant analysis (F1, F2, F3), Phone performed better than Zoom, i.e., more similarly to H6, although the data extraction method (VoiceSauce, Praat) also resulted in differences. In addition, Zoom recordings exhibited unexpected drops in intensity. The results suggest that lossless format phone recordings present a viable option for at least some phonetic studies.

This dataset contains two data files: - "data_Praat.csv" contains data extracted using Praat - "data_VoiceSauce.csv" contains data extracted using VoiceSauce

The full information of participants, materials, recording procedures, and measurements are recorded in the above-mentioned article.

Identifier
DOI https://doi.org/10.17026/dans-zy5-392x
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-oy-1yxx
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:214246
Provenance
Creator Zhang, C.; Jepson, K.M.; Lohfink, G.; Arvaniti, A.
Publisher Data Archiving and Networked Services (DANS)
Contributor Radboud University
Publication Year 2021
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Format txt; csv
Discipline Acoustics; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Communication Science; Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Humanities; Life Sciences; Mechanical and industrial Engineering; Mechanics and Constructive Mechanical Engineering; Social Sciences; Social and Behavioural Sciences; Soil Sciences; Theology and Religion Studies