Shintaro Fujimura1, Tsuyoshi Kojima2, Yusuke Okanoue1, Hiroki Kagoshima1, Atsushi Taguchi1, Kazuhiko Shoji1, Masato Inoue3, Ryusuke Hori1. 1. Department of Otolaryngology, Tenri Hospital, Tenri, Nara, Japan. 2. Department of Otolaryngology, Tenri Hospital, Tenri, Nara, Japan. Electronic address: t_kojima@ent.kuhp.kyoto-u.ac.jp. 3. Department of Electrical Engineering and Bioscience, School of Advanced Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan.
Abstract
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.
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.