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Comparison Between Custom Smartphone Acoustic Processing Algorithms and Praat in Healthy and Disordered Voices
Andres F Llico1, Savannah N Shanley2, Aaron D Friedman3
1Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio.
Journal of Voice : Official Journal of the Voice Foundation
|September 10, 2023
Summary
Smartphone algorithms show strong agreement with Praat for voice analysis, but caution is advised for severely dysphonic voices due to potential errors in mean fundamental frequency (fo) and maximum phonation time (MPT) measures.
Area of Science:
- Speech science
- Acoustic analysis
- Digital health
Background:
- Acoustic voice analysis is crucial for diagnosing and monitoring vocal pathologies.
- Traditional analysis relies on specialized software like Praat.
- Mobile technology offers potential for accessible voice assessment.
Purpose of the Study:
- To compare acoustic measures derived from custom smartphone algorithms with those from Praat.
- To evaluate the accuracy of smartphone algorithms across a range of vocal pathologies.
Main Methods:
- Collected voice samples from 56 adults (healthy and dysphonic) performing sustained vowel, maximum phonation, and Rainbow passage tasks.
- Extracted mean fundamental frequency (fo), maximum phonation time (MPT), and cepstral peak prominence (CPP) using Praat and smartphone algorithms.
- Utilized linear regression to assess relationships and identify outliers.
Main Results:
- High correlations (r2 = 0.68-0.98) were observed between smartphone and Praat measures.
- A consistent offset was noted in cepstral peak prominence (CPP) values.
- Smartphone algorithms showed reduced accuracy for mean fo and MPT in severely dysphonic voices.
Conclusions:
- Proposed smartphone algorithms offer comparable measurements to clinical standards.
- Clinicians should exercise caution with severely dysphonic voices due to potential inaccuracies in specific measures.
- Further refinement of algorithms is needed for optimal performance across all voice types.
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