• Phonetics and Speech Sciences
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• v.6 no.2
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• pp.107-114
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• 2014

MDVP and Praat are measured by nine variables in common; F0, jitter local, jitter absolute, jitter relative average perturbation, jitter period perturbation quotient, shimmer local, shimmer dB, shimmer amplitude perturbation quotient, and NHR. In the present study, 30 female subjects were divided by their disorders(control group, vocal nodule group), ages(from 18 to 50 years old), gender(women), and severities of voice disorder(GRBAS-G0, G1, G2). Then, the subjects' vowel /a/ was evaluated by MDVP and Praat. First, jitter and shimmer variables of the MDVP were significantly different by severities. Praat showed different jitter, shimmer, and NHR parameters by severities. Second, jitter and NHR levels of MDVP were meaningfully higher than Praat regardless their severities. The result of the research confirms the relationships among GRBAS, MDVP and Praat as well as the differences in acoustic variables between MDVP and Praat.

• Speech Sciences
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• v.7 no.2
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• pp.71-81
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• 2000

The present study was performed to find efficient and useful length of voice sample for MDVP analysis, by investigating the correlation between perceptual GRBAS scales and objective MDVP measurements, with the five different lengths of voices of 20 patients with vocal polyp: 0.5, 1.0, 1.5, 2.0, 2.5 seconds. The results are following: (1) 1.5-second sample of MDVP showed the highest correlation between the perceptual judgement and objective measurement, and 1.0-second sample showed the lowest. The difference between the two samples was found in the number of the statistically significant correlated pairs of MDVP parameter-GRBAS scale. (2) The two extreme edges of the lengths, 0.5-second and 2.5 second showed no statistically significant difference.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.10 no.2
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• pp.154-163
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• 1999

GRBAS scale, the tool fir the perceptual evaluation of voice, demands the experience of judges, and MDVP parameters of CSL, the tool for the objective measurements of voice quality demands the exact interpretation of the analyzed results. The two tools should be used as compensatory evaluation methods, so the experimental study was performed to investigate the correlation between GRBAS scales and MDVP parameters by using the pathologic voice of the 30 patients with vocal polyps, and to know the significant MDVP parameters which the inexperienced GRBAS scale judges should attend to. The 30 subjects voices, saved in MDVP of CSL were analyzed by its own analysis program, and three experienced voice therapists judged the same voices by using GRBAS scales. The correlations between them were analyzed by Spearman Rank Correlation Coefficient. As results, among the 29 MDVP parameters, 22 parameters showed statistically significant correlation with Grade(G) scale(p＜0.05). And it was found that Roughness(R) scale showed significant correlation with 18 parameters, Breathiness(B) scale with 17 parameters, Strain(S) scale with 12 parameters. In Asthenicity(A) scale, no parameter showed significant correlation. On the whole, significantly high correlation were found in the parameters related with pitch ind amplitude perturbation, especially, the amplitude perturbation.

• Phonetics and Speech Sciences
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• v.12 no.3
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• pp.73-83
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• 2020

Measured values may differ between Multi-Dimensional Voice Program (MDVP), Praat, and Time-Frequency Analysis software (TF32), all of which are widely used in voice quality analysis, due to differences in the algorithms used in each analyzer. Therefore, this study aimed to compare the values of parameters of normal voice measured with each analyzer. After tokens of the vowel sound /a/ were collected from 35 normal adult subjects (19 male and 16 female), they were analyzed with MDVP, Praat, and TF32. The mean values obtained from Praat for jitter variables (J local, J abs, J rap, and J ppq), shimmer variables (S local, S dB, and S apq), and noise-to-harmonics ratio (NHR) were significantly lower than those from MDVP in both males and females (p<.01). The mean values of J local, J abs, and S local were significantly lower in the order MDVP, Praat, and TF32 in both genders. In conclusion, the measured values differed across voice analyzers due to the differences in the algorithms each analyzer uses. Therefore, it is important for clinicians to analyze pathologic voice after understanding the normal criteria used by each analyzer when they use a voice analyzer in clinical practice.

• Speech Sciences
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• v.15 no.4
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• pp.107-119
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• 2008

This paper intends to investigate the correlation of 12 MDVP measurements with age, sex and body-size of sampled healthy patients. In order to extract pitch and 12 MDVP parameters efficiently and display the correlation of each parameter easily, we developed the speech analysis program using C/C++ and MFC development tool. The sample group consists of 205 males and 343 females with ages 9-81. We collected vowel voices /a/ and 8 body-size measurements from them. Body-size values were taken at 8 different torso positions of each person. We analyzed the matched voice samples and body-size measurements by the developed speech analysis program and SPSS program. The result shows that a typical characteristic age-F0 pattern that F0 of male subjects are rapidly decreased after mutational period and have stable state with age and that of female subjects are slowly changed by overall age. In MDVP, age-STD in males, age-sPPQ in females relationships are especially similar to the age-F0 relationship. In case of male group, sPPQ(0.316%), Jitt(0.04%), Shim(0.25%), APQ(0.28%) variables are increased with age after mutational period. And Jitt(0.042%), sPPQ(0.219%) of females group are increased with age too. In cases of height, weight and BMI there exists a weak correlation with MDVP, which shows a correlation coefficient below 0.25 about male and female groups. The survey of correlation relationship between 8 body-size measurements and MDVP shows a insignificant statistical result by only just having the correlation coefficient maximum in M8-8 and F0(-0.394%) for males and M8-6,7(-0.368%, -0.364%) for females.

• Phonetics and Speech Sciences
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• v.1 no.4
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• pp.147-157
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• 2009

The purpose of the study is to develop the normal voice database and to analyze the acoustic characteristics of Korean adults' voices by gender using MDVP. Eight categories in the 34 parameters of MDVP were analyzed in the voices of 170 Korean normal adults taken from /a/ vowel. Among them, Fundamental Frequency Parameters and Frequency Perturbation Parameters were significantly different by gender. In addition, Fundamental Frequency Parameters of our data were remarkably different from the data suggested in the MDVP program which currently used in clinics. Therefore, the data obtained from the current study can be effectively used for the diagnosis of voice disorders of Korean adults as the standard parameter values of MDVP.

• Speech Sciences
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• v.10 no.3
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• pp.29-36
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• 2003

The purposes of this study was to conduct a correlational analysis among $F_^{0}$, Jitter, Shimmer, and NHR (HNR), and NNE estimated by three speech analysis softwares, MDVP, Praat and Dr. Speech. Thirty females and 15 males with normal voice participated in the study. We used Sound Forge 6.0 to record their voice. MDVP, Praat and Dr. Speech were used to measure the acoustic parameters. The Pearson correlation coefficient was determined through a statistical analysis. The results came out as follows: Firstly, there was a strong correlation between $F_^{0}$ and Shimmer of both instruments. However, there was no correlation between Jitter of both instruments. Secondly, Shimmer showed a stronger correlation with HNR, NHR, and NNE than Jitter. Therefore, Shimmer was considered to be more useful and sensitive parameter to identify dysphonic voice compared to jitter.

• Proceedings of the KSLP Conference
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• 1996.11a
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• pp.76-76
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• 1996

음성분석검사는 주어진 음성의 주파수, 진폭, 시간 등의 기본 변수를 이용하여 음성을 객관적으로 비교, 분석하는 방법 중의 하나이며, 그 중 MDVP(Multi-dimensional voice program, Kay Elemetrics Corp, NJ, USA)는 33가지 방법의 다양한 계산을 통하여 주어진 음성을 여러 가지 측면에서 분석이 가능하게 하는 장점을 갖고 있다. 그러나 약 3초 내외의 지속적인 /아/ 발성을 기계적으로 분석하고 있기 때문에 발성의 상태에 따라 한 환자의 음성에서도 여러 가지 일정치 않은 결과를 보일 수 있음을 관찰하였다. (중략)

• Proceedings of the KSLP Conference
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• 1999.11a
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• pp.180-180
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• 1999

배경 : 음성평가시 그 음질을 파악하기 위한 검사 중 주관적 검사로서 많이 쓰이는 것은 GRBAS 척도에 의한 청인지적 4단계 평정이고, 객관적 검사로서 널리 쓰이고 있는 검사 도구는 CSL 중 MDVP이다. 이중 GRBAS 검사는 평가자의 고도의 숙련도를 요구하며, MDVP에 의한 음성평가는, 나타난 결과에 대한 정확한 해석을 요구한다. 목적 : 이에, 1차적으로 음성과용 환자를 대상으로 하여, GRBAS 척도에 의한 청인지적 음성평가 결과와 CSL 중 MDVP에 의한 객관적 음성평가 결과에 대한 상관성을 비교, 분석해 보고, 이를 통하여 청인지적 음성평가에 숙련되지 못한 평가자가 객관적 검사도구를 통하여 음성평가를 하고자 할 때 주목해야 할 변인들에 관하여 알아보고자 한다. (중략)

• Proceedings of the KSLP Conference
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• 2015.03a
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• pp.12-12
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• 2015