The Accuracy of Smartphone Recordings for Clinical Voice Diagnostics in Acoustic Voice Quality Assessments: A Systematic Review and Meta-Analysis

  • 0School of Health, Education and Social Sciences, SRH University of Applied Sciences Heidelberg, Düsseldorf, Germany.

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Summary

This summary is machine-generated.

Smartphone voice recordings show inconsistencies compared to clinical systems for acoustic voice quality analysis. While convenient, current smartphone precision may not fully match clinical recording systems for all voice parameters.

Area Of Science

  • Speech and Hearing Sciences
  • Acoustic Analysis
  • Biomedical Engineering

Background

  • Clinical voice quality assessment traditionally relies on specialized external microphones.
  • Advancements in smartphone technology prompt an evaluation of their utility in voice recording.
  • Instrumental voice analysis requires standardized and precise recording methods.

Purpose Of The Study

  • To systematically review and meta-analyze the suitability of smartphones for voice recordings in clinical voice quality assessments.
  • To compare acoustic voice quality measures obtained from smartphones versus clinical recording systems (CRS).

Main Methods

  • Systematic review and meta-analysis of cross-sectional studies.
  • Searches of three databases and manual searches up to December 2024.
  • Inclusion of studies measuring Praat acoustic parameters: jitter, shimmer, harmonics-to-noise ratio (HNR), smoothed cepstral peak prominence (CPPS), and acoustic voice quality index (AVQI).

Main Results

  • 10 studies with 379 participants compared smartphones (Apple, Samsung) to CRS.
  • iPhones showed significant differences and large effect sizes in HNR and AVQI compared to CRS.
  • Direct comparison between Apple and Samsung revealed significant differences in jitter and CPPS.
  • Samsung devices showed significant differences and large effect size in jitter compared to CRS.

Conclusions

  • Smartphone recordings exhibit inconsistencies with CRS for acoustic voice quality parameters.
  • Despite widespread availability, current smartphone recordings may lack the precision of CRSs for specific voice analyses.
  • Further research is needed to establish smartphone reliability for clinical voice assessments.