Investigating the acoustic fidelity of vowels across remote recording methods

Abstract Our study tests the acoustic fidelity of remote recordings, using a large variety of stimuli and recording environments. Remote recordings support crucial uses like reaching isolated populations and more speakers; however, it is important to be aware of any limitations therein. A 188-word list was constructed from each English consonant followed by each vowel. Words recorded by one male and one female speaker in a sound-attenuated booth were input for test recordings. Stimuli were played over an electronic speaker and recorded on six devices across five operating systems, four teleconferencing platforms, and two browsers, using internal and external microphones, a more extensive set than has been analyzed in prior research. Acoustic analysis investigates the impact of these recording configurations on fundamental frequency, loudness, and vowel formant measures. Across recording conditions, browser choice had less effect on the different vowel measures, while choice of hardware resulted in a greater number of significant differences and greater variability within and across conditions. Recording configuration effects were observed to exert different impacts across vowels and speakers, resulting in inconsistent perturbations. These results highlight the need for careful selection and detailed documentation of all recording configurations.

Authors

Institutions

Publication Details

Journal
Linguistics Vanguard
Published
2024-12-01
DOI
https://doi.org/10.1515/lingvan-2022-0169
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the acoustic fidelity of vowels across remote recording methods

Richard Wright, Gina‐Anne Levow, Ella Deaton, Sara Ng et al.
Linguistics Vanguard
Speech and Audio Processing
article

Investigating the acoustic fidelity of vowels across remote recording methods

Richard Wright, Gina‐Anne Levow, Ella Deaton, Sara Ng, Robert Squizzero, Marina Oganyan, Emily P. Ahn
article en

Abstract

Abstract Our study tests the acoustic fidelity of remote recordings, using a large variety of stimuli and recording environments. Remote recordings support crucial uses like reaching isolated populations and more speakers; however, it is important to be aware of any limitations therein. A 188-word list was constructed from each English consonant followed by each vowel. Words recorded by one male and one female speaker in a sound-attenuated booth were input for test recordings. Stimuli were played over an electronic speaker and recorded on six devices across five operating systems, four teleconferencing platforms, and two browsers, using internal and external microphones, a more extensive set than has been analyzed in prior research. Acoustic analysis investigates the impact of these recording configurations on fundamental frequency, loudness, and vowel formant measures. Across recording conditions, browser choice had less effect on the different vowel measures, while choice of hardware resulted in a greater number of significant differences and greater variability within and across conditions. Recording configuration effects were observed to exert different impacts across vowels and speakers, resulting in inconsistent perturbations. These results highlight the need for careful selection and detailed documentation of all recording configurations.

Linguistics VanguardVol. 10(1)
University of Washington (US), Seattle University (US)
Openalex Percentile: Top 75%
Speech and Audio Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.