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Evaluating iPhone recordings for acoustic voice assessment.
Emily Lin1, Jeremy Hornibrook, Tika Ormond
1Department of Communication Disorders, University of Canterbury, Christchurch, New Zealand. emily.lin@canterbury.ac.nz
Summary
iPhone recordings are viable for acoustic voice quality measurements. Intra-subject comparisons are recommended for tracking voice disorder progression and treatment effects.
Area of Science:
- Speech and Hearing Sciences
- Acoustic Phonetics
- Medical Technology
Background:
- Accurate acoustic measurement of voice quality is crucial for diagnosing and managing voice disorders.
- Traditional voice recording systems can be expensive and cumbersome, limiting accessibility.
- The increasing prevalence of smartphones necessitates exploring their potential for clinical applications.
Purpose of the Study:
- To evaluate the reliability and validity of using iPhone recordings for acoustic voice analysis.
- To compare acoustic measures obtained from an iPhone with a standard recording system.
- To assess the utility of iPhone recordings in tracking voice changes in patients undergoing phonosurgery.
Main Methods:
- Simultaneous voice recordings were made using an iPhone (model A1303) and a comparison system from 11 healthy speakers.
- Acoustic measures were compared between the two recording systems.
- Pre- and post-operative voice recordings from 10 patients were analyzed using the iPhone to assess treatment effects.
Main Results:
- Acoustic measures derived from iPhone recordings showed a high correlation with those from the comparison system.
- The iPhone recordings accurately reflected the effects of vowel type on acoustic measures, consistent with prior research.
- Significant positive changes in acoustic measures, including vowel space area and voice perturbation, were observed post-phonosurgery.
Conclusions:
- The tested iPhone model is a viable tool for acoustic voice quality assessment and clinical voice change tracking.
- Intra-subject comparisons of acoustic measures are more effective than norm-referenced comparisons for monitoring voice disorders.
- Further research into factors like gender and pathology type may refine the application of smartphone-based voice analysis.
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