Data-driven Approach to Differentiating between Depression and Dementia
from Noisy Speech and Language Data

Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data

7 October 2022

Malikeh Ehghaghi

Jekaterina Novikova

Papers citing "Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data"

7 / 7 papers shown

Title
A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities Lotem Peled-Cohen Roi Reichart 53 1 0 29 Sep 2024
DEPAC: a Corpus for Depression and Anxiety Detection from Speech Mashrura Tasnim Malikeh Ehghaghi Brian Diep Jekaterina Novikova 49 20 0 20 Jun 2023
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection Aparna Balagopalan Jekaterina Novikova 39 43 0 03 Jun 2021
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge Saturnino Luz F. Haider S. D. L. Fuente Davida Fromm B. MacWhinney 29 263 0 14 Apr 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 157 9,413 0 09 Feb 2018
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 392 33,521 0 16 Oct 2013