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Classification of spontaneous speech of individuals with dementia based on automatic prosody analysis using support vector machines (SVM)

Roelant Ossewaarde (Onderzoeker); Roel Jonkers (Onderzoeker); Fedor Jalvingh (Onderzoeker); Yvonne Bastiaanse (Onderzoeker)

Analysis of spontaneous speech is an important tool for clinical linguists to diagnose various types of neurodegenerative disease that affect the language processing areas. Prosody, fluency and voice quality may be affected in individuals with Parkinson's disease (PD, degradation of voice quality, unstable …

2019ICT & MediaConferentiebijdrage

Automated detection of unfilled pauses in speech of healthy and brain-damaged individuals

Roelant Ossewaarde (Lid Lectoraat); Roel Jonkers (Lid Lectoraat); Fedor Jalvingh; Yvonne Bastiaanse

Pauses in speech may be categorized on the basis of their length. Some authors claim that there are two categories (short and long pauses) (Baken & Orlikoff, 2000), others claim that there are three (Campione & Véronis, 2002), or even more. Pause lengths may be affected in speakers with aphasia. Individuals …

2017-10-27ICT & Media; …Conferentiebijdrage

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Classification of spontaneous speech of individuals with dementia based on automatic prosody analysis using support vector machines (SVM)

Automated detection of unfilled pauses in speech of healthy and brain-damaged individuals

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