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DOI 10.1016/j.jvoice.2019.05.013

Медицинская библиотека · Journal of voice : official journal of the Voice Foundation · 2019

Real-Time Acoustic Voice Analysis Using a Handheld Device Running Android Operating System.

Fujimura Shintaro, Kojima Tsuyoshi, Okanoue Yusuke, Kagoshima Hiroki, Taguchi Atsushi, Shoji Kazuhiko, Inoue Masato, Hori Ryusuke

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Аннотация

OBJECTIVES

We developed a highly accessible acoustic voice analysis system (VArt) using a handheld device running Android operating system. To provide stable and reliable analysis using readily obtainable equipment under unfavorable conditions, we modified the fundamental frequency (F0) extraction algorithm and designed an intuitive user interface representing a new hoarseness index (real-time Ra: Rart), which is a derivative of harmonics-to-noise ratio developed by Kojima and Shoji (Ra2). Since Rart continues to display analysis results in real time, unlike conventional acoustic analysis, it can be used for evaluation such as during phonosurgery and speech therapy. We evaluated the agreement between the earlier version of acoustic voice analysis software (VA) running on a Windows personal computer and VArt running on a handheld device.

METHODS

F0, Ra2, and Rart were measured in voice samples of sustained vowel phonation /a/ from 10 healthy volunteers and 22 patients with voice disorders using VA running on a Windows personal computer and VArt running on two types of handheld devices in a sound-treated room or in a medical examination room. Intraclass correlation coefficients were calculated for both systems under both conditions.

RESULTS

All of the comparisons were highly correlated.

CONCLUSIONS

Measurements obtained using our newly developed VArt were highly consistent with those using VA, indicating high reliability. Moreover, the new system increases the clinical feasibility of acoustic voice analysis.

Для цитирования: Fujimura Shintaro, Kojima Tsuyoshi, Okanoue Yusuke, Kagoshima Hiroki, Taguchi Atsushi, Shoji Kazuhiko, Inoue Masato, Hori Ryusuke. Real-Time Acoustic Voice Analysis Using a Handheld Device Running Android Operating System.. Journal of voice : official journal of the Voice Foundation. 2019. DOI: 10.1016/j.jvoice.2019.05.013.

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