Search Results for author: Sofia de la Fuente

Found 3 papers, 1 papers with code

Detecting cognitive decline using speech only: The ADReSSo Challenge

no code implementations23 Mar 2021 Saturnino Luz, Fasih Haider, Sofia de la Fuente, Davida Fromm, Brian MacWhinney

Building on the success of the ADReSS Challenge at Interspeech 2020, which attracted the participation of 34 teams from across the world, the ADReSSo Challenge targets three difficult automatic prediction problems of societal and medical relevance, namely: detection of Alzheimer's Dementia, inference of cognitive testing scores, and prediction of cognitive decline.

General Classification regression

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

no code implementations14 Apr 2020 Saturnino Luz, Fasih Haider, Sofia de la Fuente, Davida Fromm, Brian MacWhinney

ADReSS provides researchers with a benchmark speech dataset which has been acoustically pre-processed and balanced in terms of age and gender, defining two cognitive assessment tasks, namely: the Alzheimer's speech classification task and the neuropsychological score regression task.

Classification General Classification +1

A Method for Analysis of Patient Speech in Dialogue for Dementia Detection

1 code implementation25 Nov 2018 Saturnino Luz, Sofia de la Fuente, Pierre Albert

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.

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