77 research outputs found

    Development and validation of Speech Range Profile task

    Get PDF
    The study aimed to develop Speech Range Profile (SRP) and to examine and validate its clinical application. Forty-five participants without voice disorders aged 18-29 years were compared using SRP and Voice Range Profile (VRP). The authors developed the โ€œFire!โ€ paragraph as a SRP task compromising 14 sentences including all Korean spoken phonemes and sentence types. To compare SRP and VRP results, the participants read the paragraph (reading) and counted from 21 to 30 (counting) as a part of SRP tasks, and produced a vowel /a/ from low to high frequencies (gliding) and a shortened form of the VRP as a part of VRP tasks. F0max, F0min, F0range, Imax, Imin, and Irange for each task were measured and compared, showing that F0max, F0min, F0range, Imax, and Irange were not different between reading and gliding. Imin, had the lowest value in counting. It is concluded that the newly developed SRP task, reading the โ€œFireโ€ paragraph, can yield a maximum phonation range similar to that found by VRP. Therefore, it is expected that voice evaluation can be effectively performed in a relatively short time by applying SRP with the โ€œFireโ€ paragraph, a functional utterance task, in place of VRP, which may be difficult to measure long term or in cases of severe voice disorders.ope

    Prediction of speaking fundamental frequency using the voice and speech range profiles in normal adults

    Get PDF
    This study sought to investigate whether mean speaking fundamental frequency (SFF) can be predicted by parameters of voice and speech range profile (VRP and SRP) in Korean normal adults. Moreover, it explored whether gender differences exist in the absolute differences between the SFF and estimated SFF (ESFF) predicted by the VRP and SRP. A total of 85 native Korean speakers with normal voice participated in the study. Each participant was asked to perform the VRP task using the vowel /a/ and the SRP task using the first sentence of a Korean standard passage โ€œGa-eulโ€. In addition, the SFF was measured with electroglottography during a passage reading task. Predictive factors of the SFF were explored and the absolute difference between the SFF and the ESFF (DSFF) was compared between gender groups. Results indicated that predictive factors were age, gender, minimum pitch and pitch range for the VRP (adjusted R2 = .931), and pitch range (in semi-tones) and maximum pitch for the SRP (adjusted R2 = .963), respectively. The SFF and ESFF predicted by the VRP and SRP showed a strong positive correlation. The DSFF of the VRP and SRP, as well as their sum did not differ by gender. In conclusion, the SFF during a passage reading task could be successfully predicted by the parameters of the VRP and SRP tasks. In further studies, clinical implications need to be explored in patients who may exhibit deviations in SFF.ope

    A Comparison of Voice Activity and Participation Profiles according to the Patterns of Professional Voice Use

    Get PDF
    Objectives: The present study sought to investigate whether voice activity and participation profiles differ according to the patterns of professional voice use upon controlling for presence of benign vocal fold lesions (BVFL), gender, and severity of voice disorders. Methods: A total of 120 patients with BVFL and 120 normal controls were recruited for this study. Each participant was divided into four groups (30 participants for each group) according to the levels of professional voice use: elite vocal performer (group I), professional voice user (group II), non-vocal professional (group III), and non-vocal non-professional (group IV). The Korean version of the Voice Activity and Participation Profile (K-VAPP) and the GRBAS scale were performed. A multiple regression analysis was performed to predict each K-VAPP subscale score. Results: Upon controlling for presence of BVFL, gender, and severity, group I showed higher score in the job subsection (ฮฒ=8.231, p<.001), whereas group II showed higher scores in the total score (ฮฒ=26.647, p=.002), activity limitation score (ฮฒ=9.639, p=.002), participation restriction score (ฮฒ=11.376, p=.001), and subsections of job (ฮฒ=7.124, p<.001) and social communication (ฮฒ=4.553, p=.001) compared to the reference group (IV). On the contrary, group III did not show difference compared to the reference group. Conclusion: The current results indicated that subjective voice complaint of professional voice users is not less than that of elite vocal performers. Further research pertaining to more detailed profiles of various professions is needed.ope

    Clinical Usefulness of Voice Recordings using a Smartphone as a Screening Tool for Voice Disorders

    Get PDF
    Objectives: The purpose of the present study was to determine whether selected acoustic measures and estimates differ according to the recording devices, the Computerized Speech Lab (CSL) and a smartphone, and groups. In addition, correlation and reliability between the devices were explored. Lastly, the diagnostic ability of the two devices were compared. Methods: A total of 180 participants (90 patients and 90 controls) participated in the study. Vowel samples of the participants were recorded via the CSL and an android smartphone. For each sample, acoustic parameters including jitter percent (Jitt), shimmer percent (Shim), noise-to-harmonic ratio (NHR), cepstral peak prominence (CPP), L/H ratio, Cepstral Spectral Index of Dysphonia (CSID) were measured. Two-way repeated measures of ANOVA, Pearson correlation analysis, and ROC curve analysis were performed. Results: Interaction effect for Jitt, Shim, NHR, and ฯƒCPP between groups and devices were found. F0 measures of the smartphone were higher than those of the CSL. CPP and SR of the CSL and patients were higher than those of the smartphone and controls, respectively. In contrast, CSID and ฯƒSR were higher for the smartphone. All the parameters showed positive correlation between devices. There was no difference in the area under curve between the devices, although substantially different cut-off scores were obtained. Conclusion: The current data showed a significant correlation of acoustic measures and no difference in the diagnostic ability between the devices, although differences in several measures and higher cut-off scores of the smartphone were noted. In conclusion, smartphones can be used as a screening tool for voice disorders.ope

    ๊ฒฝ๊ธฐ๋„ ์ˆ˜์›์‹œ ์ง€์—ญ์„ ์‚ฌ๋ก€๋กœ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌํšŒ๊ณผํ•™๋Œ€ํ•™ ์ง€๋ฆฌํ•™๊ณผ, 2021. 2. ๋ฐ•์ˆ˜์ง„.์ธ์œ„ํ† ์–‘(Anthrosols)์€ ๊ธฐํ›„, ์ง€์งˆ ๋ฐ ์ง€ํ˜• ๋“ฑ ๊ธฐ์กด์˜ ์ž์—ฐํ™˜๊ฒฝ์กฐ๊ฑด์— ์˜ํ•ด ๋ฐœ์ƒํ•˜๋Š” ์ž์—ฐํ† ์–‘์— ์ง‘์•ฝ์  ํ† ์ง€์ด์šฉ, ๋Œ€๊ทœ๋ชจ ํ”ผ๋ณต๋ณ€ํ™” ๋“ฑ ์ธ๊ฐ„ ์ฃผ๋„์  ํ˜„์ƒ์ด ๋”ํ•ด์ ธ ํ˜•์„ฑ๋˜๋Š” ํ† ์–‘์œผ๋กœ ๊ทœ์ •๋œ๋‹ค. ์ธ์œ„ํ† ์–‘์˜ ํ˜•์„ฑ์€ ๋„์‹œํ™” ์ „๊ฐœ๋ฅผ ํ†ตํ•ด ๊ณต๊ฐ„์ ์œผ๋กœ ํ™•์‚ฐํ•˜๋ฉฐ ํ† ์–‘์ด์šฉ๊ฐ€์น˜๋ฅผ ์ €ํ•˜์‹œํ‚ค๊ณ  ํšŒ๋ณต๊ณผ์ •์— ์†Œ์š”๋˜๋Š” ๋น„์šฉ ์ฆ๊ฐ€๋ฅผ ์ดˆ๋ž˜ํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ์ง€์†๊ฐ€๋Šฅํ•œ ํ† ์ง€์ด์šฉ์„ ๋‹ฌ์„ฑํ‚ค ์œ„ํ•ด์„œ๋Š” ์‹œ๊ฐ€ํ™” ์ง€์—ญ๊ณผ ๊ต์™ธ ์ ์ด์ง€๋Œ€์— ํ˜•์„ฑ๋  ์ˆ˜ ์žˆ๋Š” ์ธ์œ„ํ† ์–‘์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ•„์ˆ˜์ ์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์กด์˜ ์ž์—ฐํ† ์–‘๊ณผ ์ธ์œ„ํ† ์–‘์ด ์†Œ์œ ์—ญ์ด๋ผ๋Š” ํŠน์ •ํ•œ ๊ณต๊ฐ„๋‹จ์œ„์—์„œ ๋ถ„ํ™”ํ•˜๋Š” ์–‘์ƒ๊ณผ ํ† ์–‘ ํŠน์„ฑ์˜ ์ฐจ์ด์ , ๊ทธ๋ฆฌ๊ณ  ๊ทธ๊ฒƒ์ด ๊ด€์ฐฐ๋˜๋Š” ์œ„์น˜์  ์ฐจ๋ณ„์„ฑ์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ž์—ฐ์  ํ† ์–‘ํ˜•์„ฑ ์šฐ์„ธโ€“์ธ์œ„์  ํ† ์–‘ํ˜•์„ฑ ์šฐ์„ธ๋กœ ๊ฐ„์ฃผ๋˜๋Š” 2๊ฐœ ์†Œ์œ ์—ญ์„ ์„ ์ •ํ•˜๊ณ  ํ† ์–‘ํ˜•์„ฑ์˜ ์ง€ํ˜•์  ์—ฐ์†์„ฑ์„ ๊ทผ๊ฑฐ๋กœ ํ•œ Catena ๊ฐœ๋…์— ๊ธฐ์ดˆํ•˜์—ฌ ๋‘ ์œ ์—ญ์„ 6๊ฐœ ์‚ฌ๋ฉด๋‹จ์œ„๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ํ† ์–‘์˜ ํŠน์„ฑ๋“ค์„ ์ƒํ˜ธ ๋น„๊ตํ•˜์—ฌ ๋„์ถœํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์—ฐ๊ตฌ๋Œ€์ƒ์ธ ์šฉ์ธ-์ˆ˜์›์‹œ ์ผ๋Œ€ ์ž์—ฐ์œ ์—ญ๊ณผ ์ธ์œ„์œ ์—ญ์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ํ† ์–‘ํŠน์„ฑ์€ ๊ณต๊ฐ„์ ์œผ๋กœ ์ฐจ๋ณ„์ ์ธ ๋ถ„ํฌ๋ฅผ ๋ณด์˜€๋‹ค. ์กฐ์‚ฌ๋œ ํ† ์–‘ํŠน์„ฑ์„ ์ˆ˜๋ถ„ํ•จ๋Ÿ‰๊ณผ ๊ฐ•์—ด๊ฐ๋Ÿ‰์€ Footslope-Toeslope ๋“ฑ ์‚ฌ๋ฉดํ•˜๋ถ€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ ์ˆ˜ํ‰์ ์œผ๋กœ ๋„“๊ฒŒ ๋ถ„ํฌํ•œ ๋ฐ˜๋ฉด pH์™€ EC์˜ ๋ถ„ํฌ๋Š” ๋‹ค์†Œ ํŒŒํŽธํ™”๋œ ๋ถ„ํฌ๋ฅผ ๋ณด์ด๊ณ  ์žˆ์—ˆ๋‹ค. CEC์˜ ๋ถ„ํฌ ๋˜ํ•œ ์ˆ˜๋ถ„ํ•จ๋Ÿ‰๊ณผ ๊ฐ•์—ด๊ฐ๋Ÿ‰์˜ ๋ถ„ํฌ์™€ ์œ ์‚ฌํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๊ฐ ํ† ์–‘ํŠน์„ฑ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋กœ๋ถ€ํ„ฐ ํ† ์–‘ ๋‚ด ์ˆ˜๋ถ„์ด ๊ฐ•์—ด๊ฐ๋Ÿ‰(r=0.63, 0.25), CEC(r=0.34, 0.54)์™€ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ€์ง์„ ๊ฐ์•ˆํ•  ๋•Œ Footslope ์‚ฌ๋ฉด๋‹จ์œ„๋ฅผ ๊ธฐ์ ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ์œ ์—ญ ์‚ฌ๋ฉด๊ตด๊ณก์˜ ์š”์ฒ (concavity)์™€ ๊ทธ์— ๋”ฐ๋ฅธ ๋ฌผ์งˆ์˜ ํ™•์‚ฐ์ž‘์šฉ(diffusive processes)์— ๋ฏผ๊ฐํ•˜๊ฒŒ ๋ถ„ํฌํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ผ์ •ํ•œ ์ˆ˜๋ฌธํ•™์  ํ”„๋กœ์„ธ์Šค๋ฅผ ๊ทœ์ •ํ•˜๋Š” ์†Œ์œ ์—ญ ๊ณต๊ฐ„์Šค์ผ€์ผ๊ณผ ์ง€ํ‘œ๋ฉด ๋ฌผ์งˆํ๋ฆ„ํŠน์„ฑ์„ ์ง€ํ‘œํ˜•ํƒœ ๊ตฌ๋ถ„์„ ํ†ตํ•ด ๋ฐ˜์˜ํ•œ Catena ์‚ฌ๋ฉด์œ ์—ญ๋‹จ์œ„์—์„œ ํ† ์–‘ํŠน์„ฑ์ด ์„œ๋กœ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๊ฐ ๋น„๊ต๊ธฐ์ค€์„ ํ†ตํ•œ ํ† ์–‘ํŠน์„ฑ์˜ ์ฐจ์ด๋ฅผ ์‚ดํŽด๋ณด๋ฉด ์ฃผ๋กœ ์ˆ˜๋ถ„ํ•จ๋Ÿ‰๊ณผ ๊ฐ•์—ด๊ฐ๋Ÿ‰, CEC์— ๋Œ€ํ•ด ์œ ์˜ํ•œ ์„ค๋ช…๋ ฅ(19-28%)์„ ๋ณด์˜€์˜€๊ณ , pH์™€ EC์˜ ๊ฒฝ์šฐ ์ „์ฒด์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ์„ค๋ช…๋ ฅ์ด ๋‚ฎ์•˜๋˜ ์ด์œ ๋Š” ํ† ์–‘ํŠน์„ฑ๋น„๊ต๋ฅผ ์œ„ํ•ด ๋ถ„๋ฅ˜๊ณผ์ •์—์„œ ์ฑ„ํƒํ•œ ๊ณต๊ฐ„์Šค์ผ€์ผ๊ณผ ๊ด€๋ จ๋œ ๋ฌธ์ œ ๊ทธ๋ฆฌ๊ณ  ์ง€ํ˜•๋ณ€์ˆ˜์˜ ์ธก์„  ํ† ์–‘์˜ ๋ณ€์ด์„ฑ๊ณผ ์—ฐ์†์„ฑ์„ ๊ณ ๋ คํ•˜์ง€ ๋ชปํ–ˆ๋˜ ์ ์„ ๊ฑฐ๋ก ํ•  ์ˆ˜ ์žˆ๋‹ค. ์…‹์งธ, ์ธ์œ„ํ† ์–‘ํŠน์„ฑ์˜ ๋ถ„ํฌ ์ฐจ์ด๋ฅผ ์œ ์—ญ๋ณ„, ์ธก์„ ๋ณ„ ๊ตฌ๋ถ„๊ณผ Catena ์‚ฌ๋ฉด๋‹จ์œ„ ๋ถ„๋ฅ˜ ์ค‘ ๊ฐ€์žฅ ์ž˜ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ์ค€์„ ํƒ์ƒ‰ํ•˜์˜€๋‹ค. ์œ ์—ญ๊ตฌ๋ถ„์— ์˜ํ•œ ๋น„๊ต๋Š” ์ˆ˜๋ถ„ํ•จ๋Ÿ‰๊ณผ CEC์— ๋Œ€ํ•ด ์œ ์˜ํ•œ ์„ค๋ช…๋ ฅ(21-23%)์„ ๋ณด์˜€๊ณ , ์ธก์„ ๋ณ„ ๋น„๊ต๋Š” ๊ฐ•์—ด๊ฐ๋Ÿ‰๊ณผ CEC์—์„œ ์œ ์˜ํ•œ ๊ฒฐ๊ณผ(19-28%)๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‚ฌ๋ฉด๋‹จ์œ„์— ๋”ฐ๋ฅธ ๊ตฌ๋ถ„์— ์žˆ์–ด์„œ๋Š” EC๋ฅผ ์ œ์™ธํ•œ ๋ชจ๋“  ํŠน์„ฑ์—์„œ ์œ ์˜ํ•œ ๊ฒฐ๊ณผ๊ฐ€ ์‚ฐ์ถœ๋˜์—ˆ๋‹ค15-26%). ์ฆ‰ ํ† ์–‘ํŠน์„ฑ ํ˜•์„ฑ์˜ ์ง€ํ˜•์  ์—ฐ์†์„ฑ์˜ ๊ฐœ๋…์„ ์ ์šฉํ•œ Catena ์‚ฌ๋ฉด๋‹จ์œ„๋ถ„๋ฅ˜๋ฐฉ์‹์„ ๊ณ ๋ คํ•œ ๋น„๊ต์—์„œ ํ† ์–‘์˜ ๋ถ„ํฌ๊ฐ€ ๊ฐ€์žฅ ์ž˜ ์„ค๋ช…๋˜์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ฐ ํ† ์–‘ํŠน์„ฑ์— ๋”ฐ๋ผ ์ƒ๊ด€๊ณ„์ˆ˜์™€ ๋ณ€์ด๋„์—์„œ ์ฐจ์ด๊ฐ€ ๋“œ๋Ÿฌ๋‚ฌ์œผ๋ฉฐ ๊ณต๊ฐ„์  ๋ถ„ํฌ์˜ ํŠน์ •์—์„œ ์–ด๋ ค์›€์ด ์žˆ๋‹ค. pH์™€ EC ๋“ฑ ์ผ๋ถ€ ํ† ์–‘ํŠน์„ฑ์˜ ์ฐจ๋ณ„์  ๋ฐœ์ƒ์„ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ด์‚ฐ์  ๊ณต๊ฐ„๋‹จ์œ„ ๋ฒ”์ฃผ์™€ ํ† ์–‘ํ˜•์„ฑ๊ณผ ๊ด€๋ จ๋œ ์—ฐ์†์ ์ธ ํ™˜๊ฒฝ๋ณ€์ˆ˜๋ฅผ ์ข…ํ•ฉ์ ์œผ๋กœ ๊ณ ๋ คํ•˜๋Š” ๋ฐฉ์‹์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์†Œ์œ ์—ญ๋ฒ”์œ„์—์„œ ์ถ”์ถœํ•˜์—ฌ ์กฐ์‚ฌ๋œ ํ† ์–‘์ž๋ฃŒ๋ฅผ ํ†ต์ œ๋œ ๊ณต๊ฐ„๋ช…๋ชฉ๋ฒ”์ฃผ๋ฅผ ํ†ตํ•ด ๋น„๊ตํ•˜์—ฌ ์ธ์œ„ํ† ์–‘์ด ๋“œ๋Ÿฌ๋‚ด๋Š” ํ† ์–‘ํŠน์„ฑ์˜ ์ฐจ์ด๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์ง€์—ญ์˜ ํ† ์–‘์— ๋Œ€ํ•ด ์†Œ์œ ์—ญ์˜ ํŠน์ •๊ณผ ์ง€ํ˜•๋ถ„๋ฅ˜๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ๋น„๊ต์˜ ๊ณต๊ฐ„๋ฒ”์ฃผ๋ฅผ ๊ตฌ์ฒดํ™”ํ•  ์ˆ˜ ์žˆ์—ˆ๊ณ  ๊ฐ ํ† ์–‘ํŠน์„ฑ์˜ ์ฐจ์ด๊ฐ€ ์–ด๋– ํ•œ ๋น„๊ต๊ธฐ์ค€์—์„œ ๊ณ ๋ ค๋˜์—ˆ์„ ๋•Œ ๋ณด๋‹ค ๋ถ„๋ช…ํ•œ ๋ณ€ํ™”๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š”๊ฐ€์˜ ๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ํ•ด๋‹น ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๋ถˆ์—ฐ์†์  ํ† ์–‘๊ฒฝ๊ด€ ๋˜๋Š” ํŠน์ • ์šฉ๋„์ง€์—ญ๊ณผ ๊ฐ™์€ ์‚ฌ๋ก€๋‹จ์œ„ ์—ฐ๊ตฌ๋กœ ์ด๋ฃจ์–ด์ง€๋˜ ๊ธฐ์กด ์ธ์œ„ํ† ์–‘ ์—ฐ๊ตฌ๋ฐฉ์‹์—์„œ ๋” ๋‚˜์•„๊ฐ€ ์†Œ์œ ์—ญ๊ณผ ๊ทธ ์‚ฌ๋ฉด๋‹จ์œ„ ๋“ฑ ๋ณด๋‹ค ์ผ๋ฐ˜์ ์œผ๋กœ ์ ์šฉ ๊ฐ€๋Šฅํ•œ ์ง€ํ˜•๋ถ„๋ฅ˜๊ฒฐ๊ณผ์ƒ์˜ ์—ฐ๊ตฌ์ง€์—ญ์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ์ธ์œ„ํ† ์–‘ํŠน์„ฑ์˜ ๊ณต๊ฐ„์  ๋ถ„ํฌํŠน์„ฑ๊ณผ ํ† ์–‘ํŠน์„ฑ์ด ๊ฐ–๋Š” ์ฐจ์ด๋ฅผ ๋ฐํž ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ตญํ†  ์ „๋ฐ˜์— ๊ณตํ†ต์ ์œผ๋กœ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ๋Š”, ์†Œ์œ ์—ญ ์‚ฌ๋ฉด์— ๋Œ€ํ•œ ์ง€ํ˜•๋ถ„๋ฅ˜ ๊ฒฐ๊ณผ๋ฅผ ์ด์šฉํ•˜์—ฌ ์‹œ๊ฐ€ํ™” ์ง„ํ–‰์ง€์—ญ์ด๋‚˜ ๊ฐœ๋ฐœ์˜ˆ์ •์ง€์™€ ๊ฐ™์€ ๊ด€์‹ฌ์ง€์—ญ์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ์ธ์œ„ํ† ์–‘ํŠน์„ฑ์˜ ๋ถ„์„์— ์ ํ•ฉํ•œ ์ ˆ์ฐจ๋ฅผ ์ œ์‹œํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋‚˜์•„๊ฐ€ ์‚ฐ์ง€์ „์šฉ ๋ถ€๋‹ด์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ตญํ† ๊ด€๋ฆฌ์™€ ์‚ฐ์ง€ํ† ์–‘๊ด€๋ฆฌ์—์„œ ์ธ์œ„ํ† ์–‘์˜ ๋ถ„ํฌ์™€ ํŠน์„ฑ์„ ์ดํ•ดํ•˜๊ณ  ์ ์ ˆํ•œ ๊ด€๋ฆฌ๋ฐฉ์•ˆ ์ˆ˜๋ฆฝ์˜ ๊ธฐ์ดˆ์ž๋ฃŒ๋กœ์„œ ๊ธฐ์—ฌํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.A soil type referred as โ€˜anthrosolsโ€™ is defined, in general, to be formed under heavy modification to given pedogenic conditions such as climate, parent material and landscape, mainly due to an addition of human-driven activities that include intensive land uses or land cover changes to natural soils. Formation of anthrosols proliferates with geographic spread of urbanization, deteriorates soil value and inflates soil reclamation cost. Thus, it is crucial to scrutinize issues related to anthrosols that could potentially be produced in urban areas and suburb-urban transitional areas for sustainable land use. This study intended to analyse diversion and spatial distribution of natural soil and anthrosols soil characteristics in certain spatial unit โ€“ subwatershed slope. Two separate subwatersheds are selected from study area, each represents natural pedogenesis dominant and anthropogenic pedogenesis dominant, then classified into 6 slope units based on the concept of Catena for detailed comparisons. Results of the study are as follows: Firstly, research indicates that in study area vicinity of Suwon regions, studied soil characteristics demonstrate distinctive spatial distribution. Soil moist and loss on ignition(LOI) show evident concentration in down slope areas throughout Footslope-Toeslope units. On contrary, distributions of soil pH and electrical conductivity(EC) show fragmented patterns. Secondly, natural-anthrosols soil comparisons of the slope classifications and transects show statistical significance, explain 19-28% of the variance in soil characteristics between natural soils and anthrosols, except pH and EC. The cause of this low statistical significnace shown in pH and EC requires further extensive study. Lastly it is estimated that each of spatial unit utilized to compare anthrosolsโ€™ properties varies in characteristics. subwatershed approach explain 21-23% of soil moist and cation exchange capacity(CEC), while transect approach shows 19-28% of variance of LOI and CEC. The catena approach shows statistical significance in most of properties by 15-26%. In summary, the result shows that the statistical significance of Catena slope classification units for turn out to be higher than other spatial units.โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 2. ์ธ์œ„ํ† ์–‘์˜ ๊ทœ์ • 3 3. ์ธ์œ„ํ† ์–‘ ๊ด€๋ จ ์—ฐ๊ตฌ๋™ํ–ฅ 4 1) ํ† ์–‘ํ•™์  ๊ด€์ ์—์„œ์˜ ์ธ์œ„ํ† ์–‘์—ฐ๊ตฌ 6 2) ๋†์—…์ž์› ๊ด€์ ์—์„œ์˜ ์ธ์œ„ํ† ์–‘์—ฐ๊ตฌ 8 3) ๊ธฐ์กด์—ฐ๊ตฌ๋ฒ”์œ„์˜ ํ•œ๊ณ„์™€ ๊ฐœ์„ ๋ฐฉ์•ˆ 10 4. ์—ฐ๊ตฌ ๋ชฉ์  11 5. ์—ฐ๊ตฌ๋‚ด์šฉ๊ณผ ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ 12 โ…ก. ์—ฐ๊ตฌ์ง€์—ญ๊ณผ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 14 1. ์—ฐ๊ตฌ์ง€์—ญ 14 2. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 17 1) ํ† ์–‘ํ˜•์„ฑ์˜ ๊ธฐ๋ณธ๋‹จ์œ„๋กœ์„œ ์œ ์—ญ์ด ๊ฐ–๋Š” ์˜๋ฏธ 17 2) ์†Œ์œ ์—ญ ์‚ฌ๋ฉด๋‹จ์œ„์˜ ๋ถ„๋ฅ˜๋ฐฉ๋ฒ• 18 3) ํ† ์–‘ ์ „์ฒ˜๋ฆฌ๊ณผ์ •๊ณผ ์ดํ™”ํ•™์  ํŠน์„ฑ ์กฐ์‚ฌ๋ฐฉ๋ฒ• 26 4) ์กฐ์‚ฌ๋œ ํ† ์–‘ํŠน์„ฑ์˜ ๊ณต๊ฐ„๋‹จ์œ„ ๋น„๊ต์™€ ํ‰๊ฐ€ 29 โ…ข. ์ž์—ฐํ† ์–‘๋Œ€๋น„ ์ธ์œ„ํ† ์–‘์˜ ํ† ์–‘ํŠน์„ฑ์ฐจ์ด 32 1. ์ž์—ฐ-์ธ์œ„ ์œ ์—ญ๋‹จ์œ„ ํ† ์–‘ํŠน์„ฑ์˜ ๋น„๊ต 32 1) ์œ ์—ญ๋‹จ์œ„ ํ† ์–‘ํŠน์„ฑ์˜ ๊ธฐ์ˆ ํ†ต๊ณ„ 32 2) ์œ ์—ญ๋‹จ์œ„ ํ† ์–‘ํŠน์„ฑ ์‚ฌ์ด์˜ ์ƒ๊ด€๊ด€๊ณ„ 35 3) ์œ ์—ญ๋ณ„ ํ† ์–‘ํŠน์„ฑ์˜ ๊ณต๊ฐ„์  ๋ถ„ํฌ 37 2. ์ธก์„ ๋ณ„ ํ† ์–‘ํŠน์„ฑ์ฐจ์ด ๋น„๊ตํ‰๊ฐ€ 45 1) ์‹œ๋ฃŒ์ฑ„์ทจ ์ธก์„ ๋ณ„ ํ† ์–‘๋‹จ๋ฉด์˜ ๋ณ€ํ™” 46 2) ์‹œ๋ฃŒ์ฑ„์ทจ ์ธก์„ ๋ณ„ ํ† ์„ฑ 49 3) ์‹œ๋ฃŒ์ฑ„์ทจ ์ธก์„ ๋ณ„ ํ† ์–‘ ํŠน์„ฑ์˜ ๋น„๊ต 51 3. ์‚ฌ๋ฉด๋‹จ์œ„๋ณ„ ํ† ์–‘ํŠน์„ฑ์ฐจ์ด ๋น„๊ตํ‰๊ฐ€ 54 1) ์‚ฌ๋ฉด๋‹จ์œ„๋ณ„ ํ† ์–‘ํŠน์„ฑ์ฐจ์ด ๋ถ„์„ 54 2) ํ† ์–‘ํŠน์„ฑ์ฐจ์ด ์†Œ๊ฒฐ 61 4. ํ† ์–‘ํŠน์„ฑ ๋น„๊ต๋ฐฉ์‹์— ๋”ฐ๋ฅธ ์ธ์œ„ํ† ์–‘ ํŠน์„ฑ์ฐจ์ด ํ‰๊ฐ€ 63 1) ์‚ฌ๋ฉด๋‹จ์œ„๋ณ„ ํ† ์–‘ํŠน์„ฑ์ฐจ์ด ๋ถ„์„ 54 2) ํ† ์–‘ํŠน์„ฑ์ฐจ์ด ์†Œ๊ฒฐ 61 โ…ฃ. ๊ฒฐ๋ก  66 ์ฐธ๊ณ ๋ฌธํ—Œ 70 Abstract 78 ๋ถ€๋ก 81 A. ์ƒ๊ด€๋ถ„์„ํ‘œ 82 B. ํ† ์–‘ํŠน์„ฑํ‘œ ๊ฐœ๊ด„ 83Maste

    Radiological and acoustic characteristics of โ€œArae-aโ€ (/ใ†/) articulation in Jeju language speakers

    Get PDF
    The purpose of the present study was to explore the radiological and acoustic characteristics of โ€œArae-aโ€ (/ใ†/) articulation in two male Jeju language speakers, focusing on selected measures in radiological images derived from computed tomography scans, as well as the first and the second formant measures in selected vowels. An elderly male speaker (a 78-year-old) and a young male speaker (a 34-year-old) participated in the study. During the production of four selected vowels , the shape of the vocal tract was identified, and selected measures were obtained from the elderly participantโ€™s computed tomography (CT) scans. For acoustic analysis, the participants were given a list of near-minimal pairs consisting of 112 words and asked to read them aloud. The results indicated that the โ€œArae-aโ€ (/ใ†/) articulation of the elderly speaker showed unique acoustic and radiological characteristics compared to other similar vowels, thus presenting substantial consistency with the descriptions of the โ€œHunminjeongeum Haeryebon.โ€ In contrast, the F1 and F2 measures of the young maleโ€™s /ใ†/ articulation were not distinguished from those of /ใ…—/. Current results, in part, support the scientific principles underlying the invention of โ€œArae-a,โ€ which reflects the shape of the vocal tract during production, and the necessity for further research.ope

    ๋ฌธ๋‹จ ๋‚ด ์œ„์น˜์— ๋”ฐ๋ฅธ ์ผ‘์ŠคํŠธ๋Ÿผ ๋ฐ ์ŠคํŽ™ํŠธ๋Ÿผ ์ธก์ •์น˜ ๋น„๊ต

    Get PDF
    Objectives The purpose of the present study was to investigate whether cepstral and spectral measures differ according to measurement position in a reading passage, upon controlling for the overall severity of voice disorders. Furthermore, the diagnostic value of perceptual estimates in each position was explored. Methods Thirty-five patients with voice disorders and 35 normal controls were asked to read the standard passage โ€˜Ga-eulโ€™. For each sample, sentence samples of 26โ€“30 syllable length were trimmed in 3 positions (front, middle, rear) of the passage, measuring cepstral peak prominence (CPP), L/H spectral ratio, and standard deviations (SDs). Overall severity from the CAPE-V was measured perceptually. Upon controlling for severity, cepstral measures were compared between groups and positions. The association of acoustic measures with overall severity was explored by conducting a multiple regression analysis in each position. The diagnostic value of perceptual estimates derived from acoustic measures was explored using ROC curve analysis. Results Results indicated that CPP of the rear position was lower than that of the middle position, while SD of the L/H ratio of the rear position was higher than those of the front and middle positions. On the other hand, the relationship between perceptual and cepstral and spectral measures, along with the diagnostic value, was the highest for the front position. Conclusion It is recommended that the variability of the cepstral and spectral measures among positions be considered in research and clinical practice.ope

    A comparison of acoustic & electroglottographic measures according to voiced lip trill methods

    Get PDF
    The purpose of the current study was to compare selected acoustic and electroglottographic measures (closed quotient, pitch, and loudness) among vowel phonation, traditional voiced lip trill (VLTT), modified voiced lip trill methods (VLTM). A total of 21 participants without voice complaints produced 4-second long samples using each phonation method. Results indicated that mean closed quotient of VLTM was higher than that of vowel phonation and VLTT, while its range and standard deviation measures were higher than those of vowel phonation. Mean, range, standard deviation, maximum of pitch measures of VLTM were higher than those of vowel phonation. Lastly, mean and maximum loudness of the VLTM were higher than VLTT. In conclusion, the current data indicate the possibility to use the VLTM as a training method for singing or a strategy to facilitate generalization effect of voice therapy. Current results also reflect the necessity for further study pertaining to the long-term effect of the VLTM training method. Clinical implications are discussed.ope

    The effects of location of one's affiliated university on labor market outcomes of a first job

    Get PDF
    ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ•œ๊ตญ๊ณ ์šฉ์ •๋ณด์›์—์„œ ์กฐ์‚ฌ๋œ 2011๋…„ ๋Œ€์กธ์ž ์ง์—…์ด๋™ ๊ฒฝ๋กœ์กฐ์‚ฌ(GOMS2011)์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ถœ์‹ ๋Œ€ํ•™ ์†Œ์žฌ์ง€๊ฐ€ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌํ•˜์—ฌ ์„œ์šธ ์†Œ์žฌ ๋Œ€ํ•™ ์กธ์—… ๋˜๋Š” ์ˆ˜๋„๊ถŒ ์†Œ์žฌ ๋Œ€ํ•™ ์กธ์—… ์—ฌ๋ถ€์— ๋”ฐ๋ผ ์ฒซ ์ง์žฅ์˜ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ์— ์ฐจ์ด๊ฐ€ ์กด์žฌํ•˜๋Š”์ง€ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ๊ธฐ์—…์ฒด ๊ทœ๋ชจ ๋ฐ ์ž„๊ธˆ, ๋น„์ •๊ทœ์ง ์—ฌ๋ถ€ ๋“ฑ์„ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ์˜ ๋‹ค๊ฐ์ ์ธ ์ธก๋ฉด์„ ๊ณ ๋ คํ•˜์˜€๋‹ค. ๋ถ„์„ ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ์„ ํƒํŽธ์˜๋ฅผ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒฝํ–ฅ์ ์ˆ˜ ๋งค์นญ๋ฐฉ๋ฒ•(propensity score matching)์„ ์‚ฌ์šฉํ•˜์—ฌ ๋Œ€ํ•™ ์ž…ํ•™ ์ด์ „์˜ ์œ ์‚ฌํ•œ ํŠน์„ฑ์„ ์ง€๋‹Œ ์„œ์šธ/๋น„์„œ์šธ ์†Œ์žฌ ๋Œ€ํ•™ ์กธ์—…์ƒ๋“ค๊ณผ ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ ์†Œ์žฌ ๋Œ€ํ•™ ์กธ์—…์ƒ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ์ถœ์‹ ๋Œ€ํ•™ ์†Œ์žฌ์ง€๋Š” ์ฒซ ์ง์žฅ์˜ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ์— ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ๋ ฅ์„ ๋ฐœํœ˜ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋“œ๋Ÿฌ๋‚ฌ๋‹ค. ์„œ์šธ ์†Œ์žฌ ๋Œ€ํ•™ ์กธ์—…์ƒ๋“ค์€ ๋น„์„œ์šธ์ง€์—ญ ๋Œ€ํ•™ ์กธ์—…์ž๋“ค์— ๋น„ํ•˜์—ฌ ๊ธฐ์—…์ฒด ๊ทœ๋ชจ ๋ฐ ์ž„๊ธˆ์—์„œ ๋” ์ข‹์€ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ๋ฅผ ๊ฑฐ๋‘์—ˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์ˆ˜๋„๊ถŒ ์†Œ์žฌ ๋Œ€ํ•™ ์กธ์—…์ƒ๋“ค๊ณผ ๋น„์ˆ˜๋„๊ถŒ ์†Œ์žฌ ๋Œ€ํ•™ ์กธ์—…์ƒ๋“ค์˜ ๋ถ„์„ ๊ฒฐ๊ณผ์—์„œ๋„ ์œ ์‚ฌํ•œ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ „์ˆ ํ•œ ๊ฒฐ๊ณผ๋Š” ๊ฐœ์ธ์˜ ๋ฐฐ๊ฒฝ์ด๋‚˜ ๋Œ€ํ•™ ์ž…ํ•™ ์ด์ „ ํŠน์„ฑ, ๋Œ€ํ•™ ์œ„์„ธ ๋“ฑ์—์„œ ์œ ์‚ฌํ•œ ํŠน์„ฑ์„ ์ง€๋…”์„์ง€๋ผ๋„ ์ถœ์‹ ๋Œ€ํ•™ ์†Œ์žฌ์ง€์— ๋”ฐ๋ผ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ์— ์ฐจ์ด๊ฐ€ ์กด์žฌํ•  ๊ฐœ์—ฐ์„ฑ์ด ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.Using a sample from the Graduates Occupational Mobility Survey(GOMS) 2011 data, this study investigates the effects of the location of former college on labor market outcomes. The difference in labor market performance was examined depending on whether or not former college from which one is graduated is located in Seoul or in capital areas. To this end, this study employed propensity score matching to minimize selection bias, and thereby analyzed students with similar attributes prior to the entrance of universities. The results reveal that graduates from universities in Seoul, as well as those from universities located in the capital area, exhibit better labor market performance in terms of wage level or size of the companies. The findings from this study imply that it is highly likely for graduates from universities located in Seoul or in capital areas to get the windward of the labor market outcomes
    • โ€ฆ
    corecore