Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions

Daniela Beltrami, Laura Calzà, Gloria Gagliardi, Enrico Ghidoni, Norina Marcello, Rema Rossini Favretti, Fabio Tamburini


Abstract
This paper presents some preliminary results of the OPLON project. It aimed at identifying early linguistic symptoms of cognitive decline in the elderly. This pilot study was conducted on a corpus composed of spontaneous speech sample collected from 39 subjects, who underwent a neuropsychological screening for visuo-spatial abilities, memory, language, executive functions and attention. A rich set of linguistic features was extracted from the digitalised utterances (at phonetic, suprasegmental, lexical, morphological and syntactic levels) and the statistical significance in pinpointing the pathological process was measured. Our results show remarkable trends for what concerns both the linguistic traits selection and the automatic classifiers building.
Anthology ID:
L16-1331
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2086–2093
Language:
URL:
https://aclanthology.org/L16-1331
DOI:
Bibkey:
Cite (ACL):
Daniela Beltrami, Laura Calzà, Gloria Gagliardi, Enrico Ghidoni, Norina Marcello, Rema Rossini Favretti, and Fabio Tamburini. 2016. Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2086–2093, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions (Beltrami et al., LREC 2016)
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PDF:
https://aclanthology.org/L16-1331.pdf