• 제목/요약/키워드: Pathological Voice

검색결과 38건 처리시간 0.021초

장애음성의 음향학적 분석에서 유성음 문장의 임상적 유용성에 관한 연구 (A study on the clinical utility of voiced sentences in acoustic analysis for pathological voice evaluation)

  • 김지성
    • 한국음향학회지
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    • 제42권4호
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    • pp.298-303
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    • 2023
  • 본 연구는 장애음성의 평가에 사용되는 연속발화과제로서 유성음 문장의 임상적 유용성을 알아보기 위한 것이다. 이를 위해, 모음연장발성과제의 음향학적 측정치인 주파수 변동률(jitter percent, jitter), 진폭 변동률(shimmer percent, shimmer), 소음대배음비(Noise to Harmonic Ratio, NHR)와 유성음으로만 이루어진 연속발화과제의 음향학적 측정치로 캡스트럼 분석 측정치인 켑스트럼 피크 현저성(Cepstral Peak Prominence, CPP), 저주파수대고주파수 스펙트럼비(Low/High spectral ratio, L/H ratio)의 상관을 분석하였다. 음성장애 환자 65명을 대상으로 수집된 자료를 분석한 결과, 유성음 문장의 음향학적 측정치인 CPP와 모음연장발성의 측정치인 jitter(r = -.624, p = .000), shimmer (r = -.530, p = .000), NHR(r = -.469, p = .000) 간에 유의한 상관이 나타났다. 이는 유성음 문장의 캡스트럼 측정치가 '연속발화 과제의 변동률 기반 분석 불가능', '분석구간과 길이에 따른 결과차이' 등 언어재활 임상현장이 가지고 있는 장애음성의 음향학적 분석의 제한에 대한 대안으로 유용하게 사용될 수 있음을 시사한다.

음성합성을 이용한 병적 음성의 치료 결과에 대한 예측 (Prediction of Post-Treatment Outcome of Pathologic Voice Using Voice Synthesis)

  • 이주환;최홍식;김영호;김한수;최현승;김광문
    • 대한후두음성언어의학회지
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    • 제14권1호
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    • pp.30-39
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    • 2003
  • Background and Objectives : Patients with pathologic voice often concern about recovery of voice after surgery. In our investigation, we give controlled values of three parameters of voice synthesis program of Dr. Speech Science. such as jitter, shimmer, and NNE(normalized noise energy) which characterize someone's voice from others and deviced a method to synthesize the predicted voice after performing operation. Subjects and Method : Values of vocal jitter, vocal shimmer, and glottal noise were measured with voices of 10 vocal cord Paralysis and 10 vocal Polyp Patients 1 week Prior to and 1 month after the surgery. With Dr. Speech science voice synthesis program we synthesized 'ae' vowel which is closely identical to preoperative and post-operative voice of the patients by controlling the values of jitter, shimmer, and glottal noise. then we analyzed the synthesized voices and compared with pre and post-operative voice. Results : 1) After inputting the preoperative and corrected values of jitter, shimmer, and glottal noise into the voice synthesis Program, voices identical to vocal Polyp Patients' Pre- and Postoperative voices withiin statistical significance were synthesized 2) After elimination of synergistic effects between three paramenter, we were able to synthesize voice identical to vocal paralysis patients' preoperative voices. 3) After inputting only slightly increased jitter, shimmer into the synthesis program, we were able to synthesize voice identical to vocal cord paralysis patients' postoperative voices. Conclusion : Voices synthesized with Dr. Speech science program were identical to patients' actual pre and postoperative voice, and clinicians will be able to give the patients more information and thus increased patients cooperability can be expected.

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음원 파라미터 모델과 인공신경망을 이용한 음성장애 검출 (Screening of Voice Disorder using Source Parameter Model and Artificial Neural Network)

  • 파벨시틸;조철우;미샤파벨
    • 음성과학
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    • 제15권2호
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    • pp.89-97
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    • 2008
  • There is a number of clinical conditions that affect directly or indirectly the physical properties of the vocal folds and thereby the pressure waveforms of elicited sounds. If the relationships between the clinical conditions and the voice quality are sufficiently reliable, it should be possible to detect these diseases or disorders. The focus of this paper is to determine the set of features and their values that would characterize the speaker's state of vocal folds. To the extent that these features can capture the anatomical, physiological, and neurological aspects of the speaker they can be potentially used to mediate an unobtrusive approach to diagnosis. We will show a new approach to this problem supported with results obtained from two disordered voice corpora.

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Perturbation and Nonlinear Dynamic Analysis of Sustained Vowels in Normal and Pathological Voices

  • 이지연;최성희;;한민수;최홍식
    • 말소리와 음성과학
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    • 제2권1호
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    • pp.113-120
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    • 2010
  • In this paper, we investigate the acoustic characteristics of sustained voices from normal subjects and patients with laryngeal pathologies. Perturbation methods (including jitter and shimmer), signal-to-noise ratio (SNR), and nonlinear dynamic methods (such as correlation dimension) are used to analyze normal and pathological voices. We find that jitter does not statistically discriminate between normal and pathological voices, but a significant difference is found for shimmer, SNR, and correlation dimension. The results suggest that nonlinear dynamic analysis may be valuable for the analysis of normal and pathological voices but perturbation analysis should be applied with caution for pathological voice analysis.

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음원분석을 통한 장애음성의 음향적 특성분석에 관한 연구 (Analysis of Acoustical Characteristics of Pathological Voice Using Source Analysis)

  • 조철우
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1998년도 학술발표대회 논문집 제17권 1호
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    • pp.163-166
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    • 1998
  • 본 논문에서는 장애음성들의 분석을 위하여 기존의 파라미터들인 jitter, shimmer 및 NHR과 함께 음원의 추정에 의한 파라미터를 이용하여 장애음성의 음향적 특성분석을 위한 실험을 행하고 정상음성과 장애음성을 이들 파라미터에 의해 식별하고자 한다.

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후두미세수술 전후 /아/의 음향적 특성 비교 (Comparative Study on the Acoustic Characteristics of the Korean Vowel /a/ before and after LMS)

  • 황연시;성철재
    • 대한음성학회지:말소리
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    • 제67호
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    • pp.33-60
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    • 2008
  • The aim of this study is to show the differences in acoustic parameters between a pathological voice /a/ caused by vocal polyp and a normal voice /a/ produced after LMS (Laryngeal Microscopic Surgery). It was expected that voices of two kinds could be analyzed effectively in terms of HNR in specific frequency bands than in all frequency bands. For this study, 10 patients' voice were recorded before and after LMS and then were manipulated in terms of four acoustic parameter. It was found out that (a) frequency bands of 500Hz in the range of 1,000Hz to 4,000Hz were very useful to obtain HNR values; (b) frequency bands in the range of 1,248Hz to 5,500Hz on a log scale were very useful to obtain HNR values; (c) F0 dropped after LMS but not significantly; (d) the bandwidth of the second formant (B2) decreased significantly after LMS, while that of the first formant (B1) decreased after LMS but not significantly.

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후두질환에 대한 술전 술후 음성의 음향적 특성비교 분석 (Analysis and Comparisons of Acoustical Characteristics of Pathologic Voice before and after Surgery)

  • 김대현;조철우;백무진;왕수건
    • 음성과학
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    • 제7권3호
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    • pp.285-294
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    • 2000
  • In this paper the acoustic characteristics of pathological voice, which are measured before and after surgical operation, are compared. This experiment is conducted for the purpose of predicting patients' speech after operation. The voices are recorded from the same patients. Jitter, shimmer and other parameters are. computed and their statistical characteristics are compared. Also spectral changes, such as formant frequency shift and spectral slope change, are compared. From the experimental results, it is verified that not only source characteristics but also vocal tract components vary. And this indicates that the modification of source parameters are not enough for the prediction. Also the result indicates that the operation causes change to both the physical shape of vocal folds and the manner of articulation.

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Perturbation and Perceptual Analysis of Pathological Sustained Vowels according to Signal Typing

  • 이지연;최성희;;한민수;최홍식
    • 말소리와 음성과학
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    • 제2권2호
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    • pp.109-115
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    • 2010
  • In this paper, we investigate a signal typing on the basis of visual impression of distinctive spectrogram. Pathological voices are classified into signal type 1, 2, 3, or 4 to estimate perturbation parameters and to mark perceptual rating based on Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V). The results suggest that perturbation analysis can be applied to only type 1 and 2 signals and the perceptual ratings of overall grade increase with each signal type, overall. A good inter-rater reliability is showed among three raters. We recommend that pathological voices should be marked the signal typing and CAPE-V, together, to definitely describe the characteristics of pathological voices.

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소음환경이 정상 및 병적음성에 미치는 영향 (The Effect of Noise on the Normal and Pathological Voice)

  • 홍기환;양윤수;김현기
    • 음성과학
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    • 제9권4호
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    • pp.27-38
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    • 2002
  • The purpose of this article is to present the acoustic parameters (VOT, jitter, shimmer, vF0, vAm, NHR, SPI, VTI, DVB, DSH) for consonants (/pipi/, /$p^{h}ip^{h}i$/, /p'ip'i/) and sustained vowels (/a/, /e/, /i/) produced by normal subjects and dysphonia patients at two vocal effort(normal, high) by Lombard effect using 60dB white noise. Lombard effect indicates the vocal effort increase in noisy situation. At normal vocal effort, in general the acoustic parameter values of patients are greater than normal. And in noisy situation, significant decrease of acoustic values is seen in normal compared with in dysphonia patients. The clinical implication of this finding, the vocal quality in dysphonia is not compensated by vocal effort as well as normal subjects because of the inefficiency caused by abnormal vocal fold appearance and function. And with this result, we can counsel that the voice quality can not be improved as well as the patient expect.

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기식 등급에 따른 CPP (Cepstral Peak Prominence) 분석 비교 (A comparison of CPP analysis among breathiness ranks)

  • 강영애;구본석;조철우
    • 말소리와 음성과학
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    • 제7권1호
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    • pp.21-26
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    • 2015
  • The aim of this study is to synthesize pathological breathy voice and to make a cepstral peak prominence (CPP) table following breathiness ranks by cepstral analysis to supplement reliability of the perceptual auditory judgment task. KlattGrid synthesizer included in Praat was used. Synthesis parameters consist of two groups, i.e., constants and variables. Constant parameters are pitch, amplitude, flutter, open phase, oral formant and bandwidth. Variable parameters are breathiness (BR), aspiration amplitude (AH), and spectral tilt (TL). Five hundred sixty samples of synthetic breathy vowel /a/ for male were created. Three raters participated in ranking of the breathiness. 217 were proved to be inadequate samples from perceptual judgment and cepstral analysis. Finally, 343 samples were selected. These CPP values and other related parameters from cepstral analysis are classified under four breathiness ranks (B0~B3). The mean and standard deviation of CPP is $16.10{\pm}1.15$ dB(B0), $13.68{\pm}1.34$ dB(B1), $10.97{\pm}1.41$ dB(B2), and $3.03{\pm}4.07$ dB(B3). The value of CPP decreases toward the severe group of breathiness because there is a lot of noise and a small quantity of harmonics.