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Comparing Phoneme Speech Recordings and Acoustic App Data Capture Experience for Android and iOS Mobile Device Users
Kara Chappie1, Stefan Kell1, Donnie Qi2
1Pfizer Research & Development, Pfizer, Inc., Cambridge, Massachusetts.
Summary
Mobile app speech analysis shows differences between Android and iOS devices, impacting remote clinical trials. App instructions significantly influence results like maximum phonation time.
Area of Science:
- Digital Health
- Mobile Health (mHealth)
- Speech Science
Background:
- Telehealth and decentralized clinical trials are growing.
- Understanding mobile operating system impacts on speech data is crucial.
Purpose of the Study:
- Investigate Android vs. iOS differences in acoustic speech features.
- Assess the impact of in-app instructions on maximum phonation time (MPT).
- Inform mobile app design for remote acoustic analyses.
Main Methods:
- Acoustic features extracted from mobile app speech recordings (N=693 healthy participants).
- Compared feature averages between Android and iOS devices using Wilcoxon tests.
- Analyzed impact of in-app instructions on MPT for /a/.
Main Results:
- Differences found in harmonicity and energy-related features between Android and iOS.
- iOS showed more periodic content; lower high-frequency energy.
- Android devices exhibited greater feature variability and lower background noise.
- MPT increased after an updated in-app instruction period.
Conclusions:
- Android and iOS devices exhibit measurable differences in speech feature extraction.
- Device-specific challenges, like background noise checks, affect user experience.
- In-app instructions are critical for standardizing speech data in remote trials.
