Event-synchronous processing of misarticulated stop consonants

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dc.contributor.author Vikram, C. M
dc.date.accessioned 2020-08-24T10:28:02Z
dc.date.available 2020-08-24T10:28:02Z
dc.date.issued 2019
dc.identifier.other ROLL NO.146102045
dc.identifier.uri http://gyan.iitg.ernet.in/handle/123456789/1604
dc.description Supervisor: S. R. M. Prasanna en_US
dc.description.abstract Misarticulated stops are commonly produced by the individuals living with cleft lip and palate (CLP), hearing disorders, motor speech disorders, and cognitive impairment. Speech technology based system for the evaluation of misarticulated stops can be used as an assistive tool by speech language pathologists during the treatment of individuals with speech sound disorders. Due to the presence of diverse acoustic characteristics, automatic detection of misarticulated stops is a challenging task. Motivated by the importance of events in speech analysis, an event-synchronous framework is proposed for the processing of misarticulated stops. The proposed approach involves the processing of speech signal anchored around a specific event, which carries the significant information about the deviant articulation. The present work considers the glottal closure and vowel onset events for the processing of misarticulated stops. The features extracted around these events are used for the screening of misarticulated stops from normal and classification of the category of misarticulation. The applications of event-synchronous features are demonstrated for evaluation of misarticulated stops produced by CLP children. en_US
dc.language.iso en en_US
dc.relation.ispartofseries TH-2224;
dc.title Event-synchronous processing of misarticulated stop consonants en_US
dc.type Thesis en_US

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