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dc.contributor.authorLien, Yu-Anen_US
dc.date.accessioned2015-12-21T18:52:51Z
dc.date.available2016-04-27T06:01:02Z
dc.date.issued2015
dc.identifier.urihttps://hdl.handle.net/2144/13645
dc.description.abstractThe project objective is to improve clinical assessment and diagnosis of the voice disorder, vocal hyperfunction (VH). VH is a condition characterized by excessive laryngeal and paralaryngeal tension, and is assumed to be the underlying cause of the majority of voice disorders. Current clinical assessment of VH is subjective and demonstrates poor inter-rater reliability. Recent work indicates that a new acoustic measure, relative fundamental frequency (RFF) is sensitive to the maladaptive functional behaviors associated with VH and can potentially be used to objectively characterize VH. Here, we explored and enhanced the potential for RFF as a measure of VH in three ways. First, the current protocol for RFF estimation was optimized to simplify the recording procedure and reduce estimation time. Second, RFF was compared with the current state-of-the-art measures of VH – listener perception of vocal effort and the aerodynamic ratio of sound pressure level to subglottal pressure level. Third, an automated algorithm that utilized the optimized recording protocol was developed and validated against manual estimation methods and listener perception. This work enables large-scale studies on RFF to determine the specific physiological elements that contribute to the measure’s ability to capture VH and may potentially provide a non-invasive and readily implemented solution for this long-standing clinical issue.en_US
dc.language.isoen_US
dc.subjectBiomedical engineeringen_US
dc.subjectAcousticsen_US
dc.subjectSpeechen_US
dc.subjectVoiceen_US
dc.subjectVocal hyperfunctionen_US
dc.titleOptimization and automation of relative fundamental frequency for objective assessment of vocal hyperfunctionen_US
dc.typeThesis/Dissertationen_US
dc.date.updated2015-10-28T08:02:54Z
etd.degree.nameDoctor of Philosophyen_US
etd.degree.leveldoctoralen_US
etd.degree.disciplineBiomedical Engineeringen_US
etd.degree.grantorBoston Universityen_US


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