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Smartphones Offer New Opportunities in Clinical Voice Research
C Manfredi1, J Lebacq2, G Cantarella3
1Department of Information Engineering, Università degli Studi di Firenze, Firenze, Italy.
Journal of Voice : Official Journal of the Voice Foundation
|April 13, 2016
Summary
Smartphones can reliably record pathologic voices, including jitter and noise, without significant distortion. This technology enhances voice data collection for research on voice treatment efficiency.
Area of Science:
- Speech and Hearing Sciences
- Biomedical Engineering
- Digital Health
Background:
- Smartphone technology offers novel methods for collecting standardized voice samples.
- Efficient data collection is crucial for research on voice treatment efficacy.
- The acoustic quality of smartphone recordings for pathologic voices requires validation.
Purpose of the Study:
- To assess the suitability of smartphones for recording and digitizing pathologic voices.
- To compare smartphone voice recordings with direct microphone recordings.
- To evaluate the accuracy of smartphone recordings for voice perturbation analysis.
Main Methods:
- Two smartphones (inexpensive and high-level) were used to record synthesized deviant voice samples.
- Voice stimuli featured variations in fundamental frequency (120 and 200 Hz), jitter, and noise.
- Recordings were compared to direct microphone recordings in a soundproof room using PRAAT software.
Main Results:
- High correlations were found for jitter, shimmer, and noise-to-harmonics ratio between smartphone recordings and direct measurements.
- Both tested smartphones demonstrated accurate digitization of voice parameters.
- No significant distortion was observed in smartphone recordings of pathologic voice features.
Conclusions:
- Smartphones are adequate for the reliable recording and digitization of pathologic voices.
- This technology can significantly improve baseline data collection for voice research.
- Smartphone-based voice analysis holds promise for clinical research and potentially remote patient monitoring.
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