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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Detecting cognitive decline using speech only: The ADReSSo Challenge ... Luz, Saturnino; Haider, Fasih; de la Fuente, Sofia. - : arXiv, 2021 BASE Show details 2 A Method for Analysis of Patient Speech in Dialogue for Dementia Detection ... Luz, Saturnino; de la Fuente, Sofia; Albert, Pierre. - : arXiv, 2018 Abstract: We present an approach to automatic detection of Alzheimer's type dementia based on characteristics of spontaneous spoken language dialogue consisting of interviews recorded in natural settings. The proposed method employs additive logistic regression (a machine learning boosting method) on content-free features extracted from dialogical interaction to build a predictive model. The model training data consisted of 21 dialogues between patients with Alzheimer's and interviewers, and 17 dialogues between patients with other health conditions and interviewers. Features analysed included speech rate, turn-taking patterns and other speech parameters. Despite relying solely on content-free features, our method obtains overall accuracy of 86.5\%, a result comparable to those of state-of-the-art methods that employ more complex lexical, syntactic and semantic features. While further investigation is needed, the fact that we were able to obtain promising results using only features that can be easily extracted from ... : 8 pages, Resources and ProcessIng of linguistic, paralinguistic and extra-linguistic Data from people with various forms of cognitive impairment, LREC 2018 ... Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD URL: https://arxiv.org/abs/1811.09919 https://dx.doi.org/10.48550/arxiv.1811.09919 BASE Hide details

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