• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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• pp.955-958
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• 2000

본 논문은 음성신호를 이용해 성대의 질환이 있는 환자를 진단하고 병명을 판별하게끔 유도하는 자동 진단 시스템을 개발하기 위한 연구의 일부로, 그중 ARS를 이용하여 환자의 음성을 수집, 분석, 식별의 실험에 대한 연구이다. 본 연구 팀에서는 이미 CSL을 이용한 장애음성 데이터의 수집과 식별에 관한 연구 결과를 발표한바 있다. 하지만 선행연구에서는 방음실에서 디지털 녹음기를 이용하여 수집한 음성을 사용했기 때문에, ARS를 통하여 녹음한 음성과는 샘플링 주파수나 대역폭, 잡음성분등의 데이터의 특성이 상당한 차이가 있다. 이러한 이유로 ARS를 통하여 녹음한 음성에 보다 적합한 파라미터 분석프로그램을 작성하여 파라미터를 구하였다. 이 파라미터들은 Kay사의 MDVP를 기초로하여 작성하였고, 대부분 80%정도의 신뢰성을 가졌다. 수집한 음성의 식별은 정상음성과 양성음성의 두가지 경우로 분리하였다. 식별기법으로는 신경망을 이용하였고, 식별파라미터는 구한 파라미터중 6개의 파라미터를 선별하여 식별한 결과 약 90%정도의 식별율을 가졌다.

• 말소리와 음성과학
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• 제6권1호
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• pp.71-76
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• 2014

In this paper voice quality of normal speech is qualitatively classified by five components of breathy, creaky, rough, nasal, and thin/thick voice. To determine whether a correlation exists between a subjective measure of voice and an objective measure of voice, each voice is perceptually evaluated using the 1/2/3 scale by speech processing specialists and acoustically analyzed using speech analysis tools such as the Praat, MDVP, and VoiceSauce. The speech parameters include features related to speech source and vocal tract filter. Statistical analysis uses a two-independent-samples non-parametric test. Experimental results show that statistical analysis identified a significant correlation between the speech feature parameters and the components of voice quality.

• 대한음성학회지:말소리
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• 제65호
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• pp.37-49
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• 2008

The purposes of this experiment were to compare and analyze some voice parameters of the hearing impaired male adults and to suggest a basic data on the speech intervention for the hearing impaired. Voice analysis of four sustained vowels(/a/, /i/, /${\partial}$/, /u/, fundamental Sequency(F0), jitter percent, shimmer percent, and Noise to Harmonic Ratio(NHR) was conducted for the deaf young male adults using a sign laguage(N=5, aged 16-20) and the normal hearing young male adults(N=10, aged 18-20) by using MDVP(Multi-Dimensional Voice Program) in CSL. F0, jitter, and shimmer in the deaf group were significantly higher than those in the normal hearing group. The average of F0 was 151 Hz, which was lower than the results of the previous studies, and there were no significant differences among the sustained vowels. In both groups, the values of the voice parameters were stable on the /a/ or /${\partial}$/, those closed to the standard scores.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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• pp.54-56
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• 2005

Analysis of the voice and its corresponding studies are examined from the recording of the voice through microphone and various calculation processes of the signals by using computer. Voice analyser include data acquisition and analyzing program. Since oath program uses different voice signal processing algorithm, thorough understanding of the operation is essential. In this study, analysis result of patient voice were compared by using four different voice analysis programs such as MDVP, Praat, TF32, and the program developed in this study. Pitch, jitter and shimmer were selected as comparison analysis factors. As a result, pitch, jitter and shimmer showed different result since each program uses different pitch computation algorithm.

• 대한기관식도과학회:학술대회논문집
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• 대한기관식도과학회 1997년도 대한이비인후과학회 종합학술대회 초록집
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• pp.116-116
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• 1997

배경 및 목적: 전신마취를 위하여 시행한 기관내 삽관은 삽관튜브와 성대내면의 접촉에 의한 압력과 마찰로 후두 미세한 손상을 주게된다. 저자들은 단기간 기관내 삽관 전,후의 음성분석을 통하여 손상의 유무와 회복을 측정할 수 있는 객관적인 음성지표를 찾아보고자 하였다. 대상 및 방법: 만성 중이염 수술시 전신마취를 목적으로 경구기관 튜브를 거치한 성인 남자 10명과 여자 15명 환자를 대상으로 수술 1일전과 술후 24시간 후 각각 "a"음을 연장 발성시켜 CSL 4300B (KAY elemetrics Corp)의 MDVP(multidimensional voice program)을 이용하여 harmonic to noise ratio(NHR), Jitter, Shimmer, Fundamental frequency를 측정 비교하였다. 결 과: 남녀 모두에서 Jitter, Shimmer는 각각 평균 0.70%에서 1.06%, 1.92%에서2.28%로 증가되는 경향을 보였으나 통계학적 유의성은 없었다. Fundamental frequency는 여자에서 평균 220Hz에서 221Hz로 남자는 125Hz에서 128Hz로 변화를 보이지 않았고 harmonic to noise ratio(NHR)또한 평균 0.11로 수술 전, 후 변화를 관찰할 수 없었다. 결 론: 이상의 결과로 2내지 6시간의 단기간 삽관으로 인한 성대의 손상은 경미하여 24시간 이내에 회복되는 것으로 판단된다. 향후 6시간 이상의 기관내삽관이나 수일이상의 장기간 삽관후의 음성지표의 측정등의 연구가 필요할 것으로 사료된다.

• 말소리와 음성과학
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• 제4권1호
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• pp.119-124
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• 2012

The purpose of this study is to compare the voice differences of persons with Idiopathic Parkinson's disease and a normal group according to five vowels. Eight persons with Idiopathic Parkinson's disease and a healthy control group of 22 were selected and every voice analyzed by MDVP. The first result showed that jitter measurements between the two group showed a significant statistical difference according to all vowels. Second, the two groups' shimmer measurements showed a significant statistical difference according to nearly all vowels. Third, jitter measurements between the five vowels were more relatively closely correlated persons with Idiopathic Parkinson's disease than the normal group. Fourth, shimmer figures between the five vowels more relatively closely correlated persons with Idiopathic Parkinson's disease than the normal group.

• 말소리와 음성과학
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• 제1권3호
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• pp.145-151
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• 2009

The purpose of this study was to investigate the acoustic characteristics of transgenders' voice. This study obtained acoustic measurements (F0, jitter, shimmer, and NHR) of 45 subjects (15 male adults, 15 female adults, and 15 transgender(male to female)) and compared acoustic measurements of the vowel /a/ produced by 3 groups. The MDVP was used to measure the acoustic parameters. A one-way ANOVA was used for statistical analysis. The results were as follow: Firstly, there was a significant difference among the 3 groups in F0. And F0 of transgenders was higher than that of male group and lower than that of female group. Secondly, there was a significant difference between male and transgender group in jitter and shimmer so that the transgender had a tendency to phonate roughly than male.

• 말소리와 음성과학
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• 제6권2호
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• pp.115-121
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• 2014

This paper investigates the relationship between acoustic characteristics and voice handicap index for 29 males with esophageal speakers. Acoustic characteristics were measured by using a sustained vowel /a/ three times. The stable vocalization for 2 seconds was analyzed by MDVP program. Specifically, relationships between four VHI scores (total, functional, physical, and emotional) and three acoustic characteristics (jitter, shimmer, and NHR) were investigated using the Pearson correlation coefficient. As results, we found no relationship between NHR and VHI scores. However, both jitter and shimmer had statistically significant correlations with all four VHI scores. This research will contribute to establishing a baseline related to speech characteristics in voice rehabilitation with esophageal speakers. Further research could be done to examine the overall quality of life survey, which is widely used as a subjective measure about voice for patients with esophageal speakers.

• 음성과학
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• 제9권2호
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• pp.1-11
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• 2002

This paper aims to provide a guideline for modelling speaker identification and speaker verification by comparing voice similarities between brothers. Five pairs of brothers who are believed to have similar voices participated in this experiment. Before conducted in the experiment, perceptual tests were measured if the voices were similar between brothers. The words were measured in both isolation and context, and the subjects were asked to read five times with about three seconds of interval between readings. Recordings were made at natural speed in a quiet room. The data were analyzed in pitch and formant frequencies using CSL (Computerized Speech Lab), PCQuirer and MDVP (Multi -dimensional Voice Program). It was found that data of the initial vowels are much more similar and homogeneous than those of vowels in other position. The acoustic data showed that voice similarities are strikingly high in both pitch and formant frequencies. It was also found that the correlation coefficient was not significant between parameters above.

• 산업경영시스템학회지
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• 제32권4호
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• pp.215-222
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• 2009

Human voice reacts very sensitively to human's minute physical condition. For instance, human voice disorders affect patients profoundly especially in the case of Parkinson's disease. Acoustic tools such as MDVP, can function as an equipment that measures various voice in different objects. Many different approaches have been applied for analyzing the voice disorders for diagnosis of Parkinson's disease. According to the voice data of suspected Parkinson's patients from UCI Machine Learning Repository, it is reported to have 23 people with Parkinson's disease and 8 healthy people. Applying Mahalanobis Taguchi System (MTS) for diagnosis of Parkinson's disease, the correct diagnosis performance is compared to previous research results.