• Title/Summary/Keyword: pathologic voices

Search Result 5, Processing Time 0.017 seconds

Acoustic Analysis with Moving Window in Normal and Pathologic Voices

  • Choi, Seong-Hee;Lee, Ji-Yeoun;Jiang, Jack J.
    • Phonetics and Speech Sciences
    • /
    • v.2 no.3
    • /
    • pp.165-170
    • /
    • 2010
  • In this study, the most stable portion was identified using 5% moving window during /a/ sustained phonation in normal and pathologic voice signals and the perturbation values were compared between normal and pathologic voices at the mid-point and at the most stable portion using moving window, respectively. The results revealed that some severe pathologic voice signals can be eligible for perturbation analysis by identifying the most stable portion with Err less than 10. In addition, the perturbation acoustic parameters did not differentiate the pathologic voice signals from the normal voice signals when the mid-point was selected to measure the perturbation analysis(p>0.05). However, significantly higher %shimmer and lower SNR values were observed in pathologic voices (p<0.05) when the most stable portion was selected by moving window. In conclusion, moving window could identify the most stable portion objectively which can allow toget the minimum perturbation values (%jitter, %shimmer) and maximum SNR values. Thus, moving window technique can be applicable for more reliable and accurate perturbation acoustic analysis.

  • PDF

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

  • 이주환;최홍식;김영호;김한수;최현승;김광문
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
    • /
    • v.14 no.1
    • /
    • pp.30-39
    • /
    • 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.

  • PDF

The Correlation between GRBAS Scales and MDVP Parameters on the Pathologic Voices of the Patients with Vocal Polyps (성대 폴립 환자를 대상으로 한 GRBAS 척도와 MDVP 측정치 간의 상관관계 연구)

  • 표화영;최성희;임성은;심현섭;최홍식;김광문
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
    • /
    • v.10 no.2
    • /
    • pp.154-163
    • /
    • 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.

  • PDF

Acoustic Analysis of Normal and Pathologic Voice Synthesized with Voice Synthesis Program of Dr. Speech Science (Dr. Speech Science의 음성합성프로그램을 이용하여 합성한 정상음성과 병적음성(Pathologic Voice)의 음향학적 분석)

  • 최홍식;김성수
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
    • /
    • v.12 no.2
    • /
    • pp.115-120
    • /
    • 2001
  • In this paper, we synthesized vowel /ae/ with voice synthesis program of Dr. Speech Science, and we also synthesized pathologic vowel /ae/ by some parameters such as high frequency gain (HFG), low frequency gain(LFG), pitch flutter(PF) which represents jitter value and flutter of amplitude(FA) which represents shimmer value, and grade ranked as mild, moderate and severe respectively. And then we analysed all pathologic voice by analysis program of Dr. Speech Science. We expect that this synthesized pathologic voices are useful for understanding the parameter such as noise, jitter and shimmer and feedback effect to patient with voice disorder.

  • PDF

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

  • Kim, Dae-Hyun;Jo, Cheol-Woo;Baek, Moo- Jin;Wang, Soo-Geun
    • Speech Sciences
    • /
    • v.7 no.3
    • /
    • pp.285-294
    • /
    • 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.

  • PDF