LEADER 02769nam 2200433 450 001 9910821021603321 005 20200317144013.0 010 $a3-8325-8823-X 035 $a(CKB)4100000010135226 035 $a(MiAaPQ)EBC6032868 035 $a5e469732-2230-4da0-8c54-4e00b0dd2d03 035 $a(EXLCZ)994100000010135226 100 $a20200317d2016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis of speech of people with parkinson's disease /$fJuan Rafael Orozco-Arroyave 210 1$aBerlin :$cLogos Verlag Berlin,$d[2016] 210 4$d©2016 215 $a1 online resource (138 pages) $cillustrations 225 1 $aStudien zur Mustererkennung ;$vBand 41 300 $aPublicationDate: 20161111 311 $a3-8325-4361-9 320 $aIncludes bibliographical references. 330 $aLong description: The analysis of speech of people with Parkinson's disease is an interesting and highly relevant topic that has attracted the research community during several years. The advances in digital signal processing and pattern recognition have motivated the research community to work on the development of computational tools to perform automatic analysis of speech. Most of the contributions on this topic are focused on sustained phonation of vowels and only consider recordings of one language. This thesis addresses two problems considering recordings of sustained phonations of vowels and continuous speech signals: (1) the automatic classification of Parkinson's patients vs. healthy speakers, and (2) the prediction of the neurological state of the patients according to the motor section of the Unified Parkinson's Disease Rating Scale (UPDRS). Recordings of three languages are considered: Spanish, German, and Czech. German and Czech data were provided by other researchers, and Spanish data were recorded in Medellín, Colombia, during the development of this work. Besides the classical approaches to assess pathological speech, a new method to model articulation deficits of Parkinson's patients is proposed. This new articulation modeling approach shows to be more accurate and robust than others to discriminate between Parkinson's patients and healthy speakers in the three considered languages. 410 0$aStudien zur Mustererkennung ;$vBand 41. 606 $aParkinson's disease 615 0$aParkinson's disease. 676 $a616.833 700 $aOrozco Arroyave$b Juan Rafael$01677735 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821021603321 996 $aAnalysis of speech of people with parkinson's disease$94044836 997 $aUNINA