Comparability of Modern Recording Devices for Speech Analysis: Smartphone, Landline, Laptop, and Hard Disc Recorder
Abstract
Background: Large-scale multi-site experimental and clinical speech protocols require high-fidelity, easy-to-use speech recording technologies. However, little is known about the reliability and comparability of affordable, portable and commonly used technologies with traditional well-validated devices (e.g., a hard disc recorder with a high-quality microphone). Objective: To examine the comparability of speech and voice samples acquired from protocols involving high- and low-quality devices. Methods: Speech samples were acquired simultaneously from 15 healthy adults using four devices and analyzed acoustically for measures of timing and voice quality. For the purpose of making initial comparisons, methods were deemed comparable if the resultant acoustic data yielded root mean squared error values ≤10% and statistically significant Spearman's correlation coefficients. Results: The data suggest that there is significant and widespread variability in the quality and reliability between different acquisition methods for voice and speech recording. Not one method provided statistically similar data to the protocol using the benchmark device (i.e., a high-quality recorder coupled with a condenser microphone). Acoustic analysis cannot be assumed to be comparable if different recording methods are used to record speech. Conclusions: Findings have implications for researchers and clinicians hoping to make comparisons between labs or, where lower-quality devices are suggested, to offer equal fidelity.
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Updates to smartphones and updated cellular device iterations have the potential to render studies, and even data collected at different times in the same study, non‐comparable to one another.
“Clinical trials require consistent methods, but updates to smartphones and updated cellular device iterations have the potential to render studies, and even data collected at different times in the same study, non‐comparable to one another. 41 , 73”
From Developing digital health technologies for frontotemporal degeneration (2025) · cites this paper as [73]
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Constantinescu, G., Theodoros, D., Russell, T., Ward, E., Wilson, S., & Wootton, R. (2011) · International Journal of Language & Communication Disorders · doi:10.3109/13682822.2010.484848 · Cited by 192 · see citing works
Assessing acquired language disorders in adults via the Internet
Theodoros, D., Hill, A., Russell, T., Ward, E., & Wootton, R. (2008) · Telemedicine and e-Health · doi:10.1089/tmj.2007.0091 · Cited by 112 · see citing works
Monitoring change requires a rethink of assessment practices in voice and speech
Vogel, A. P., & Maruff, P. (2014) · Logopedics Phoniatrics Vocology · doi:10.3109/14015439.2013.775332 · Cited by 45 · see citing works
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Developing digital health technologies for frontotemporal degeneration
Nevler, N., Niehoff, D., Gleixner, A. M., Dodge, S., Vogel, A. P., Hill, D. L., Ducharme, S., Staffaroni, A. M., Yunusova, Y., Au, R., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70082 · Cited by 7 · see citing works
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- Authors
- Vogel, A. P., Rosen, K. M., Morgan, A. T., & Reilly, S.
- Affiliations
- The University of Melbourne (AU)
- Venue
- Folia Phoniatrica et Logopaedica
- Publisher
- S. Karger AG
- Published
- 2014
- Volume
- 66
- Issue
- 6
- Pages
- 244-250
- ISSN
- 0015-5705 (ISSN-L)
- 1021-7762
- 1421-9972
- OpenAlex
- W1964556518
- Cited by
- 44
- References
- 3
- Citations by year
- 2025: 5 · 2024: 4 · 2023: 11 · 2022: 7 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 3 · 2016: 4 · 2015: 1
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Folia Phoniatrica et Logopaedica (publishedVersion)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Griffith Research Online (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- device comparability, smartphone recordings, condenser microphone, voice quality, speech acoustics
- MeSH terms
- Smartphone, Adult, Algorithms, Female, Humans, Male, Microcomputers, Phonetics, Sound Spectrography, Speech Production Measurement, Telephone, Voice Quality, Compact Disks, Young Adult
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