Measurement of speech parameters in casual speech of dementia patients

Authors Roelant Ossewaarde, Roel Jonkers, Fedor Jalvingh, Roelien Bastiaanse
Published in Proceedings
Publication date 11 September 2017
Research groups Artificial Intelligence
Type Lecture


From the article: "Individuals with dementia often experience a decline in their ability to use language. Language problems have been reported in individuals with dementia caused by Alzheimer’s disease, Parkinson’s disease or degeneration of the fronto-temporal area. Acoustic properties are relatively easy to measure with software, which promises a cost-effective way to analyze larger discourses. We study the usefulness of acoustic features to distinguish the speech of German-speaking controls and patients with dementia caused by (a) Alzheimer’s disease, (b) Parkinson’s disease or (c) PPA/FTD. Previous studies have shown that each of these types affects speech parameters such as prosody, voice quality and fluency (Schulz 2002; Ma, Whitehill, and Cheung 2010; Rusz et al. 2016; Kato et al. 2013; Peintner et al. 2008). Prior work on the characteristics of the speech of individuals with dementia is usually based on samples from clinical tests, such as the Western Aphasia Battery or the Wechsler Logical Memory task. Spontaneous day-to-day speech may be different, because participants may show less of their vocal abilities in casual speech than in specifically designed test scenarios. It is unclear to what extent the previously reported speech characteristics are still detectable in casual conversations by software. The research question in this study is: how useful for classification are acoustic properties measured in spontaneous speech."

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On this publication contributed

Language English
Published in Proceedings
Key words Dementie, Spraakvermogen, Taalvermogen

Roelant Ossewaarde

Roelant Ossewaarde | Researcher | Intelligent Data Systems

Roelant Ossewaarde

  • Researcher
  • Research group: Artificial Intelligence