vocal fold disorder diagnosis

dc.contributor.guidePROF. DR. REENA GUNJAN
dc.coverage.spatial
dc.creator.researcherDr. SATYAJIT ABHINANDAN PANGAONKAR
dc.date.accessioned2023-07-06T08:53:42Z
dc.date.available2023-07-06T08:53:42Z
dc.date.awarded2023
dc.date.completed2023
dc.date.registered2018
dc.description.abstractSpeech disorder detection is of constant importance in our lives today. In newlinemodern society, the problem of voice dysfunction caused by various routine activities newlinehas become an enormous concern. This impairment is often manifested in voice signals newlinein terms of factors of sound perception like harshness, breathiness, hoarseness and newlinesimilar to this. newlineOne of the perspectives for the categorization of a voice disorder is a newlinepsychogenic disorder where poor voice quality becomes symbolic or severe due to newlinemany psychological issues like stress as well as emotions. Mainly emotions like newlinehappiness, anger, surprise, sadness, and calm behaviour make much of an impact on the newlinespeaking behavior of the person. The voice disorder with organic (structural and newlineneurogenic) and functional (physical structure variation) has some limitations based on newlinethe boundless scope of discrepancy and deviation during the assessment. The person newlinewhen becomes emotionally unstable, which impacts on his/ her voice production newlinesystem, which further causes stuttering and stammering behavior while speaking. To newlineovercome the limitations of the other two types of voice disorders mentioned above, newlinethe deduction of voice pathologies in the context of emotions in the form of newlineperformance parameters is very important and beneficial for improving the overall life newlineof a person. newlineThe basic objective is to focus on the development of a tool with an newlineacoustoglottography as an effective voice sample phenomenon in the preprocessing newlinealong with a new approach of mathematical modelling of finding residue of the newlineextracted signal with a fusion of numerous features with a unique summation method newlinenamed DAFF (Dysfunction and Affective Feature Fusion) which forms a multimodal newlinefeature fusion set for the improvement of recognition accuracy. The features are newlinedistributed based on the time and frequency variations as high-level and low-level based newlineon prosodic and spectral features. Zero Crossing Rate, Energy parameter with its newlineEntropy describing the pathology and emotions justif
dc.description.noteElectroglottograph, FonaDyn, MDVP, PRAAT, BioVoice, Clustering, Phonatory gap, Random correlation
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent155
dc.identifier.urihttp://hdl.handle.net/10603/497143
dc.languageEnglish
dc.publisher.institutionElectronics and Communication Engineering
dc.publisher.placePune
dc.publisher.universityMIT-ADT University, Pune
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.titlevocal fold disorder diagnosis
dc.title.alternative
dc.type.degreePh.D.

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