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dc.contributor.advisorRobert E. Hillman and Thomas F. Quatieri.en_US
dc.contributor.authorMehta, Daryush (Daryush Dinyar)en_US
dc.contributor.otherHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.date.accessioned2010-08-26T15:21:33Z
dc.date.available2010-08-26T15:21:33Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/57543
dc.descriptionThesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2010.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 127-132).en_US
dc.description.abstractClinical voice specialists make critical diagnostic, medical, therapeutic, and surgical decisions by coupling visual observations of vocal fold tissue motion with auditory-perceptual assessments of voice quality. The details of the relationship between vocal fold tissue motion and the voice produced are not fully understood, and there is recent evidence that the diagnostic significance of asymmetries during vocal fold vibration may be over-interpreted during clinical voice assessment. An automated system based on high-speed videoendoscopy recordings was developed to objectively quantify vocal fold vibratory asymmetry with initial validation from manual markings and visualperceptual judgments. Efficient estimation of these measures was possible due to recent technological advances in high-speed imaging of the larynx that enabled the capture and processing of high-resolution video (up to 10,000 images per second) of rapid vocal fold vibrations (100-1000 times per second). Synchronized recordings of the acoustic voice signal were made to explore physiological-acoustic relationships that were not possible using clinical stroboscopic imaging systems. In an initial study of asymmetric vibration in 14 patients treated for laryngeal cancer, perturbations in the voice signal were most associated with asymmetry that changed across vibratory cycles, while the overall level of asymmetry did not contribute to degradations in voice quality measures.en_US
dc.description.abstract(cont.) Thus, since stroboscopic imaging is only able to capture vibratory asymmetry that occurs periodically, voice clinicians are not able to observe the time-varying nature of asymmetry that presumably affects acoustic perturbations to a higher degree. The impact of asymmetric vibration on spectral characteristics was explored in a computational voice production model and an expanded group of 47 human subjects. Surprisingly, in both model and subject data, measures of vocal fold vibratory asymmetry did not correlate with spectral tilt measures. In the subject data, left-right phase asymmetry and closing quotient exhibited a mild inverse correlation. This result conflicted with model simulations in which the glottal area waveform exhibited higher closing quotients (less abrupt glottal closure) with increasing levels of phase asymmetry. Results call for further studies into the applicability of traditional spectral tilt measures and the role of asymmetric vocal fold vibration in efficient voice production.en_US
dc.description.statementofresponsibilityby Daryush Dinyar Mehta.en_US
dc.format.extent132 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.titleImpact of human vocal fold vibratory asymmetries on acoustic characteristics of sustained vowel phonationen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.identifier.oclc636022814en_US


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