Sofia De La Fuente Garcia

Dr., MS.

Research Fellow, Deanery of Molecular, Genetic and Population Health Sciences
Research Fellow, Usher Institute
Research Fellow, Centre for Medical Informatics

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4 Conference contribution
2 Abstract
2 Article
1 Working paper

Detecting cognitive decline using speech only: the ADReSSo Challenge
Luz, S., Haider, F., De La Fuente Garcia, S., Fromm, D. & MacWhinney, B., 24 Mar 2021, (Submitted).
Research output: Working paper

File
Affective Speech for Alzheimer's Dementia Recognition.
Haider, F., De La Fuente Garcia, S., Albert, P. & Luz, S., 11 May 2020, LREC: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments (RaPID). Kokkinakis, D., Lundholm Fors, K., Themistocleous, C., Antonsson, M. & Eckerström, M. (eds.). European Language Resources Association (ELRA), p. 67-73
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge
Luz, S., Haider, F., Fuente, S. D. L., Fromm, D. & MacWhinney, B., 16 Oct 2020, INTERSPEECH 2020. ISCA, p. 2172-2176 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review
De La Fuente Garcia, S., Ritchie, C. & Luz, S., 12 Nov 2020, (E-pub ahead of print) In: Journal of Alzheimer's Disease. 56 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Cross-corpus Feature Learning between Spontaneous Monologue and Dialogue for Automatic Classification of Alzheimer's Dementia Speech
De La Fuente Garcia, S., Haider, F. & Luz, S., 27 Aug 2020, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 5851-5855
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File

Detecting cognitive decline using speech only: the ADReSSo Challenge

Affective Speech for Alzheimer's Dementia Recognition.

Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge

Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review

Cross-corpus Feature Learning between Spontaneous Monologue and Dialogue for Automatic Classification of Alzheimer's Dementia Speech