High-Speed Videoendoscopic Analysis of Relationships between Cepstral-Based Acoustic Measures and Voice Production Mechanisms in Patients Undergoing Phonomicrosurgery

Abstract

Objectives There is increased interest in using cepstral-based acoustic measures for objective clinical voice assessment because of their apparent advantages over more time-honored methods, but there is a paucity of information about how these newer measures relate to underlying phonatory mechanisms. Methods We investigated the relationships between the acoustic cepstral peak magnitude (CPM) and high-speed videoendoscopy (HSV)–based measures of vocal fold phonatory function in 20 subjects who underwent phonomicrosurgery for vocal fold lesions. Acoustic and imaging data were acquired during sustained vowel phonation before and after surgery. Results The changes in the measures between presurgical and postsurgical assessments showed that the CPM correlated significantly with an HSV-based measure combining fundamental frequency deviation and average speed quotient (r = 0.70; p < 0.001) in a multiple linear regression, and that the variation in the CPM could also be attributed to tradingrelationships between the HSV-based measures of vibratory phase asymmetry and glottal closure. Conclusions These initial results demonstrate that the clinical utility of cepstral-based measures can be enhanced by a better understanding of how these acoustic measures relate to underlying phonatory mechanisms. The CPM seems to integrate information about aperiodicity in vocal fold vibration, the relative speed of glottal closure, and estimates of glottal noise generation.

Quantitative Analysis of Digital Videokymography: A Preliminary Study on Age- and Gender-Related Difference of Vocal Fold Vibration in Normal Speakers

“…Kymograms can be created at any level of the glottal plane 4,11,31 ; the glottal axis can be adjusted before a kymogram is constructed 11,19,[23][24][25] ; and other HSDI analyses can be done concomitantly using the same HSDI data, which allows parametric comparison across different HSDI analysis methods. 9,10,[23][24][25]31 DKG was selected in the present study because it was one of the serial HSDI researches on normophonic subjects. 11,12,32,33 Advantages of DKG included normalization by VFL which facilitates parametric comparison with videostroboscopic studies that frequently use size normalization by VFL.…”

“…Mehta et al [23][24][25] did investigate the relationships between HSDI-derived parameters (from DKG and glottal area waveform) and acoustic/spectral/cepstral measures recently, and found some significant correlations between HSDI parameters and acoustic measures (between jitter and the standard deviation of left-right phase asymmetry/amplitude asymmetry, and between shimmer and the standard deviation of open quotient), 23 and between HSDI parameters and a cepstrum-based acoustic measure (between cepstral peak magnitude and F 0 deviation/speed quotient/lateral phase difference), 24 but not between HSDI parameters and spectral tilt measures. 25 For the better interpretation of vocal fold vibrations observed by DKG, however, further data accumulation on this matter is definitely needed.…”

Relationships Between Vocal Function Measures Derived from an Acoustic Microphone and a Subglottal Neck-Surface Accelerometer

“…Acoustic measures of perturbation such as jitter have historical roots as indicators of “the physical processes of speech production” (p. 344) [23], and spectral measures of noise and tilt have been used to characterize glottal closure patterns [24]. In the cepstral domain, variations in acoustic measures have been obtained to study trading/compensatory relationships between vocal fold vibratory characteristics such as asymmetry, speed quotient, and incomplete glottal closure [25]. Based on the advantages described (e.g., relative immunity to environmental noise), use of the high-bandwidth ACC signal has the potential to enhance these types of voice assessment.…”

Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging

“…[4][5][6][7][8][9][10][11][12][13][14][15] Only in the past few years, several HSDI studies have been published that differentiate voice disorders and quantify their oscillatory characteristics. [16][17][18][19][20][21][22] However, the HSDI parameters reported in these reports have been focused on temporal aspects or left-right asymmetry, and size parameters that are routinely investigated by stroboscopic examination (such as amplitude and mucosal wave) have not been fully explored. Furthermore, HSDI research has been focused on vocal fold polyps and nodules, and there is a paucity of knowledge regarding other voice disorders.…”