A Cepstral Analysis of Normal and Pathologic Voice Qualities in Iranian Adults: A Comparative Study

Hasanvand, Arezoo; Salehi, Abolfazl; Ebrahimipour, Mona

doi:10.1016/j.jvoice.2016.10.017

Cited by 35 publications

(14 citation statements)

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“…Since auditory-perceptual analysis may be inconsistent and biased due to its subjectivity [19], acoustic measures (i.e., robust and objective method for voice analysis) must be associated with the auditory-perceptual analysis to assist the understanding of phonation system mechanisms. Besides, CPPs and LTAS measures use robust algorithms, are more accurate, allow a complete analysis, are not invasive, are low cost as well as more used in studies to assess the vocal quality [16,[23][24][25][26]42,[45][46][47]. Thus, this study contributes to evidence by associating robust measures with auditory-perceptual analysis.…”

Section: Discussionmentioning

confidence: 88%

“…A CPP variation is called cepstral peak prominence-smoothed (CPPs) and has different calculation algorithms, such as smoothing the cepstrum before extracting the peak and using 1024 frames every 2 ms instead of 10 ms, which makes CPPs more robust and with no influence of artifacts [15]. On the other hand, one advantage of CPP and CPPs regarding time-based measures is the possibility of applying them in continuous speech [4,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Relationship of Cepstral Peak Prominence-Smoothed and Long-Term Average Spectrum with Auditory–Perceptual Analysis

et al. 2020

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Cepstral peak prominence-smoothed (CPPs) and long-term average spectrum (LTAS) are robust measures that represent the glottal source and source-filter interactions, respectively. Until now, little has been known about how physiological events impact auditory–perceptual characteristics in the objective measures of CPPs and LTAS (alpha ratio; L1–L0). Thus, this paper aims to analyze the relationship between such acoustic measures and auditory–perceptual analysis and then determine which acoustic measure best represents voice quality. We analyzed 53 voice samples of vocally healthy participants (vocally healthy group-VHG) and 49 voice samples of participants with behavioral dysphonia (dysphonic group-DG). Each voice sample was composed of sustained vowel /a/ and connected speech. CPPs seem to be the best predictor of voice deviation in both studied populations because there was moderate to strong negative correlations with general degree, breathiness, roughness, and strain (auditory–perceptual parameters). Regarding L1–L0, this measure is related to breathiness (moderate negative correlations). Hence, L1–L0 provides information about air leak through closed glottis, assisting the phonatory efficiency analysis.

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Section: Discussionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Relationship of Cepstral Peak Prominence-Smoothed and Long-Term Average Spectrum with Auditory–Perceptual Analysis

et al. 2020

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“…It may be that CPPS vowel in combination with SPL vowel is a more reliable measure than CPPS vowel on its own. Hasanvand et al (2017) 18 found significant differences between male and female dysphonic and normal subject's CPPS vowel and text scores. However, the dysphonic and normal male groups showed no differences for CPPS vowel phonation.…”

Section: Cpps Text and Cpps Vowelmentioning

confidence: 98%

“…21 The amplitude of the cepstral peak has been found to correlate with dysphonia severity. 16,17,19−21 In an Iranian study Hasanvand et al 18 found significant differences between dysphonic and normal subject's CPP and CPPS scores in reading tasks in males and in females, and CPPS sustained vowels in males and females. However, the two male groups showed no differences in CPPS sustained vowel phonation.…”

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confidence: 99%

Relationship Between Laryngeal Signs and Symptoms, Acoustic Measures, and Quality of Life in Finnish Primary and Kindergarten School Teachers

et al. 2020

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Objective This study investigated the relationship between the acoustic measure smoothed cepstral peak prominence (CPPS), teacher's quality of life as measured by the voice activity and participation profile (VAPP), laryngeal signs and symptoms, voice related health problems and laryngoscopic findings in Finnish teachers. The relationship between CPPS and sound pressure level (SPL) was also assessed. Methods Vowel and text samples from 183 healthy Finnish teachers (99 kindergarten teachers [KT] and 84 primary school teachers [PST]) were analyzed for CPPS. Text reading was recorded in conversational loudness by PST, and KT were recorded wearing headphones, while listening to a masking noise of children talking to simulate their classroom voice and environment. CPPS values were correlated with the VAPP, self-reported laryngeal signs and symptoms, voice related health variables, and laryngoscopic findings. Results There was a significant difference between the two groups for CPPS text, PST showed significantly lower CPPS values (10.44) than KT (11.52). There was no difference between the two groups for CPPS vowel phonation. There was a significant correlation between SPL text and CPPS text for KT (P < 0.001, r = 0.43) but not for PST (P < 0.10, r = 0.16). There was a significant correlation between SPL vowel and CPPS vowel for both PST (P < 0.001, r = 0.47) and KT (P < 0.001, r = 0.45). CPPS did not correlate with the VAPP, laryngeal signs and symptoms, health variables or laryngeal findings. Factorial analysis of variance resulted in a significant relationship between the VAPP, laryngeal signs and symptoms, and teacher type. Teacher type and symptoms had a significant effect on VAPP scores. Conclusions In the present work CPPS does not correlate with vocal health indicators of functionally healthy teachers. CPPS was significantly influenced by differences in speaking voice SPL, emphasizing the impact of recording conditions and technique. There was a significant relationship between laryngeal signs and symptoms, teacher type and the VAPP. Laryngeal signs and symptoms and teacher type are important variables and should be included in the clinical evaluation of occupational voice users, and voice problems.

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“…대한 연구에서 캡스트럼 측정치가 모음연장발성 및 연결발화 음성 표본에서 장애음성의 중증도를 강력하게 예측하는 것으로 나타났 다 (Awan et al, 2010;Awan & Roy, 2005;Choi & Choi, 2014Heman-Ackah, Michael, & Goding, 2002;Maryn, Roy, De Bodt, Van Cauwenberge, & Corthals, 2009;Peterson et al, 2013;Seo & Seong, 2013;Yu et al, 2017). 또한 캡스트럼 분석 결과는 음성의 청 지각적 평가와 높은 상관을 보일 뿐만 아니라 (Awan et al, 2010;Choi & Choi, 2014Hasanvand, Salehi, & Ebrahimipour, 2017;Heman-Ackah et al, 2002;Yu et al, 2017), 음성장애지수(Voice Handicap Index, VHI)와 같은 주관적 자가평가와도 상관성을 보 였다 (Awan, Roy, & Cohen, 2014 Cutoff values were determined via Youden's Index. CPP = cepstral peak prominence; L/H ratio = low-high spectral ratio; ROC = receiver operating characteristic; AUC = area under the curve; SEM = standard error of measurement; CI = confidence interval.…”

Section: 최근 국내외에서 스펙트럼 및 캡스트럼 기반 음향학적 분석에unclassified

Predicting Normal and Pathological Voice using a Cepstral Based Acoustic Index in Sustained Vowels versus Connected Speech

유미옥¹,

최성희²,

최철희³

et al. 2018

Commun Sci Disord

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In recent years, the use of cepstral measures for acoustic evaluation of voice has increased. The objective of this study is to evaluate the diagnostic value of spectral/ cepstral measures to differentiate dysphonia from normal voice and to determine what type of voice sample (sustained vowel /a/ or connected speech) is the most sensitive in differentiating normal and pathological voice. Methods: Two hundred and eighty-eight individuals (99 men, 189 women) from 214 dysphonia patients and 74 normal speakers recorded connected speech and a sustained vowel /a/. One laryngologist and two speechlanguage pathologists performed visual and auditory-perceptual rating of voice samples in terms of the degree of dysphonia/normality. Recorded voices were analyzed with two spectral/cepstral measures. The cutoff value for positivity that has the highest specificity for discriminating between normal and dysphonia voices was determined based on receiver operating characteristic (ROC) analyses. Results: Measures of cepstral peak prominence (CPP) and ratio of low-to high-frequency spectral energies (L/H ratio) were significantly different between groups in both speech conditions. ROC analysis demonstrated CPP had high sensitivity and specificity for the classification of dysphonia versus controls in the both speech conditions (area under curve [AUC] = .815 in vowel, AUC = .91 in connected speech); and CPP, in particular, showed higher discrimination accuracy. Conclusion: CPP is a good predictable acoustic measure to detect dysphonic speakers in both vowel prolongation and connected speech from normal voice. Therefore, this study suggested cepstralbased acoustic measures should be included for clinical evaluation of dysphonia.

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A Cepstral Analysis of Normal and Pathologic Voice Qualities in Iranian Adults: A Comparative Study

Cited by 35 publications

References 46 publications

Relationship of Cepstral Peak Prominence-Smoothed and Long-Term Average Spectrum with Auditory–Perceptual Analysis

Relationship of Cepstral Peak Prominence-Smoothed and Long-Term Average Spectrum with Auditory–Perceptual Analysis

Relationship Between Laryngeal Signs and Symptoms, Acoustic Measures, and Quality of Life in Finnish Primary and Kindergarten School Teachers

Predicting Normal and Pathological Voice using a Cepstral Based Acoustic Index in Sustained Vowels versus Connected Speech

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