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- Title
Human voice quality measurement in noisy environments.
- Authors
Shyh-Kuang Ueng; Cheng-Ming Luo; Tsung-Yu Tsai; Hsuan-Chen Yeh; Ueng, Shyh-Kuang; Luo, Cheng-Ming; Tsai, Tsung-Yu; Yeh, Hsuan-Chen
- Abstract
<bold>Background: </bold>Computerized acoustic voice measurement is essential for the diagnosis of vocal pathologies. Previous studies showed that ambient noises have significant influences on the accuracy of voice quality assessment.<bold>Objective: </bold>This paper presents a voice quality assessment system that can accurately measure qualities of voice signals, even though the input voice data are contaminated by low-frequency noises.<bold>Methods: </bold>The ambient noises in our living rooms and laboratories are collected and the frequencies of these noises are analyzed. Based on the analysis, a filter is designed to reduce noise level of the input voice signal. Then, improved numerical algorithms are employed to extract voice parameters from the voice signal to reveal the health of the voice signal.<bold>Results: </bold>Compared with MDVP and Praat, the proposed method outperforms these two widely used programs in measuring fundamental frequency and harmonic-to-noise ratio, and its performance is comparable to these two famous programs in computing jitter and shimmer.<bold>Conclusions: </bold>The proposed voice quality assessment method is resistant to low-frequency noises and it can measure human voice quality in environments filled with noises from air-conditioners, ceiling fans and cooling fans of computers.
- Subjects
VOICE analysis; ACOUSTIC measurements; NOISE measurement; FREQUENCY curves; AIR conditioning equipment; CEILING fans; LARYNGEAL diseases; ALGORITHMS; NOISE; RESEARCH evaluation; SIGNAL processing; HUMAN voice; DIAGNOSIS
- Publication
Technology & Health Care, 2016, Vol 24, pS313
- ISSN
0928-7329
- Publication type
journal article
- DOI
10.3233/THC-151089