A comparison of acoustic measures among the microphone types for smartphone recordings in normal adults*
Author:
Funder
Hallym University
Publisher
The Korean Society of Speech Sciences
Link
http://www.eksss.org/download/download_pdf?doi=10.13064/KSSS.2024.16.2.049
Reference30 articles.
1. Awan, S. N., Shaikh, M. A., Awan, J. A., Abdalla, I., Lim, K. O., & Misono, S. (2023). Smartphone recordings are comparable to “Gold Standard” recordings for acoustic measurements of voice. Journal of Voice. 10.1016/j.jvoice.2023.01.031 37019804
2. Awan, S. N., Shaikh, M. A., Desjardins, M., Feinstein, H., & Abbott, K. V. (2022). The effect of microphone frequency response on spectral and cepstral measures of voice: An examination of low-cost electret headset microphones. American Journal of Speech-Language Pathology, 31(2), 959-973. 10.1044/2021_AJSLP-21-00156 35050724 PMC9150670
3. Castro-Tighe, S., & Inostroza-Moreno, G. (2020). Variability of microphones used for acoustic analysis of the voice in the last twenty years. Revista de Investigación e Innovación en Ciencias de la Salud, 2(2), 93-101. 10.46634/riics.36
4. Di Cesare, M. G., Perpetuini, D., Cardone, D., & Merla, A. (2024). Assessment of voice disorders using machine learning and vocal analysis of voice samples recorded through smartphones. BioMedInformatics, 4(1), 549-565. 10.3390/biomedinformatics4010031
5. Jannetts, S., Schaeffler, F., Beck, J., & Cowen, S. (2019). Assessing voice health using smartphones: Bias and random error of acoustic voice parameters captured by different smartphone types. International Journal of Language & Communication Disorders, 54(2), 292-305. 10.1111/1460-6984.12457 30779425
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