Abstract / truncated to 115 words (read the full abstract)

Voice disorders need to be better understood because they may lead to reduced job chances and social isolation. Correct treatment indication and treatment effect measurements are needed to tackle these problems. They must rely on robust outcome measures for clinical intervention studies. Diplophonia is a severe and often misunderstood sign of voice disorders. Depending on its underlying etiology, diplophonic patients typically receive treatment such as logopedic therapy or phonosurgery. In the current clinical practice diplophonia is determined auditively by the medical doctor, which is problematic from the viewpoints of evidence-based medicine and scientific methodology. The aim of this thesis is to work towards objective (i.e., automatic) detection of diplophonia. A database of 40 euphonic, 40 ... toggle 17 keywords

voice disorders diplophonia dysphonia laryngeal high-speed videos glottal area waveform vocal fold vibration waveform modelling diagnostic study diplophonia diagram audio recordings speech signal processing image signal processing phonetics speech acoustics medicine machine learning pattern classification


Aichinger, Philipp
Division of Phoniatrics-Logopedics, Department of Otorhinolaryngology, Medical University of Vienna; Signal Processing and Speech Communication Laboratory Graz University of Technology, Austria
Publication Year
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Dec. 14, 2018

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