Show simple item record

Evaluation the quality of articulation phonemes of serbian language using neural networks.

dc.contributor.advisorStanković, Srđan
dc.contributor.otherĐurović, Željko
dc.contributor.otherŠarić, Zoran
dc.contributor.otherTomašević, Milo
dc.contributor.otherSubotić, Miško
dc.creatorFurundžić, Draško V.
dc.date.accessioned2018-11-26T14:49:31Z
dc.date.available2018-11-26T14:49:31Z
dc.date.available2020-07-03T08:36:01Z
dc.date.issued2018-09-10
dc.identifier.urihttp://nardus.mpn.gov.rs/handle/123456789/10148
dc.identifier.urihttp://eteze.bg.ac.rs/application/showtheses?thesesId=6155
dc.identifier.urihttps://fedorabg.bg.ac.rs/fedora/get/o:18640/bdef:Content/download
dc.identifier.urihttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=50651151
dc.description.abstractGlavni zadatak istraživanja prikazanog u disertaciji je modeliranje složenog procesa logopedske procene kvaliteta artikulacije fonema srpskog jezika, zasnovane na inteligentnim „data driven“ učećim modelima. Multidisciplinarna priroda i složenost zadatka determinisala je sledeći niz metodoloških koraka za njegovo izvršenje: a) deskriptivna analiza procesa artikulacije, kao najvažnijeg i najsloženijeg aspekta u psiho-fiziološkom procesu produkcje govornog izraza, u svetlu definicije i komparativne analize njegovih tipičnih i atipičnih realizacija; b) karakterizacija akustičke manifestacije procesa artikulacije govornog izraza, kao pojave pogodne za posrednu analizu kvaliteta artikulacije preko instrumentalnih eksperimentalnih metoda; c) deskripcija procesa auditivne percepcije i evaluacije kvaliteta artikulacije od strane eksperta (logopeda) zasnovane na treniranom slušanju, odnosno, na sinhronizovanoj analizi skupa relevantnih artikulacionih i akustičkih atributa govornog signala, u skladu sa standardnim testovima; d) deskripcija procesa formiranja logopedskog ukupnog akustičkog utiska, odnosno akustičke slike artikulacije govormog izraza i njegove sublimacije u odgovarajuću vrednost na standardnoj numeričkoj skali ocena; e) uspostavljanja različitih modela algoritamske korespondencije između vektora akustičkih obeležja i numeričkih indikatora klasa različitog kvaliteta artikulacije što rezultuje računarskim modeliranjem procesa logopedske ocene kvaliteta artikulacije zasnovanim na inteligentnim učećim prediktorima, gde se računar nalazi u sličnom informacionom okruženju kao i logoped.sr
dc.description.abstractThe main task of the research presented in the dissertation is the modeling of the complex process of speech therapist assessment of the quality of the articulation of Serbian phonemes, based on intelligent "data driven" learning models. The multidisciplinary nature and complexity of the task determined the following set of methodological steps for its execution: a) a descriptive analysis of the articulation process, as the most important and complicated aspect of the psycho-physiological process, the production of speech expression, in the light of the definition and comparative analysis of its typical and atypical realizations; b) the characterization of an acoustic manifestation of the process of articulation of speech expression, as phenomena suitable for the indirect analysis of articulation through instrumental experimental acoustic methods; c) Describing the process of audible perception and evaluating the quality of articulation by the expert (speech therapist) based on a trained listening, or, in a synchronized analysis of a set of relevant articulation and acoustic attributes of the speech signal, in accordance with standard tests; d) the description of the process of forming the speech therapist total acoustic impression, that is, the acoustic image of the articulation of the speech term and its sublimation in the corresponding value on the standard numerical scaling scale; e) the establishment of different models of algorithmic correspondence between the acoustic feature vectors and the numerical indicators of the classes of different articulation quality, which results in computer modeling of the process of speech therapist articulation quality assessment based on intelligent learning predictors, where the computer is located in a similar information environment as well as speech therapist.en
dc.formatapplication/pdf
dc.languagesr
dc.publisherУниверзитет у Београду, Електротехнички факултетsr
dc.rightsopenAccessen
dc.sourceУниверзитет у Београдуsr
dc.subjectPatologija govorasr
dc.subjectPathology of speechen
dc.subjectartificial neural networken
dc.subjectcomputer modelingen
dc.subjectBayesian classifieren
dc.subjectquality of articulationen
dc.subjectveštačke neuronske mrežesr
dc.subjectračunarsko modeliranjesr
dc.subjectBayesov klasifikatorsr
dc.subjectkvalitet artikulacijesr
dc.titleOcena kvaliteta artikulacije glasova srpskog jezika primenom neuronskih mrežasr
dc.title.alternativeEvaluation the quality of articulation phonemes of serbian language using neural networks.en
dc.typedoctoralThesis
dc.rights.licenseBY-NC-ND
dcterms.abstractСтанковић, Срђан; Томашевић, Мило; Ђуровић, Жељко; Шарић, Зоран; Суботић, Мишко; Фурунджић, Драшко В.; Оцена квалитета артикулације гласова српског језика применом неуронских мрежа; Оцена квалитета артикулације гласова српског језика применом неуронских мрежа;
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/5786/Disertacija.pdf
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/5787/IzvestajKomisije18324.pdf


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record