A Comparison of Feature-based Classifiers and Transfer Learning Approaches for Cognitive Impairment Recognition in Language

González Machorro, Mónica y Martínez Tomás, Rafael (2022). A Comparison of Feature-based Classifiers and Transfer Learning Approaches for Cognitive Impairment Recognition in Language. En Affective Analysis and Health Applications, LNCS, volume 13258, part I (pp. 426-435) Springer.

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Título del capítulo A Comparison of Feature-based Classifiers and Transfer Learning Approaches for Cognitive Impairment Recognition in Language
Autor(es) González Machorro, Mónica
Martínez Tomás, Rafael
Título del libro Affective Analysis and Health Applications, LNCS, volume 13258, part I
Materia(s) Ingeniería Informática
Abstract Language provides valuable information in dementia recognition, as language impairment is a common characteristic of early dementia. One current limitation is the lack of data due to the constraints involved in data collection. In this paper, we propose transfer learning methods that address data scarcity and involve the least amount of customization steps. We analyze language in two separate modalities: speech and linguistic information. For the first modality, we employ audio files, and for the second one, transcripts extracted from the audio files. We customize a subset of the Pitt Corpus that contains early Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI) patients. Our proposed methods consist of feature-based classifiers and pre-trained models such as ResNet152, HuBERT, BERT and RoBERTa. Results show that linguistic-based transfer learning methods outperform speech-based transfer learning approaches and conventional classifiers. However, speech-based methods offer a solution that is transcription-free and end-to-end. Our main contribution is to successfully apply Automatic Speech Recognition (ASR) architectures in cognitive impairment recognition.
Página inicial 426
Página final 435
Palabras clave Alzheimer’s disease
Language impairment
Mild cognitive impairment
Transfer learning
Editor(es) Springer
Colaborador Ferrández Vicente, José Manuel (ed.)
Álvarez-Sánchez, José Ramón (ed.)
Paz López, Félix de la (ed.)
Adeli, Hojjat (ed.)
Fecha 2022
Formato application/pdf
Identificador bibibliuned:92-Libros-Rmartinez-0002
http://e-spacio.uned.es/fez/view/bibibliuned:92-Libros-Rmartinez-0002
ISBN - identifier 978-3-031-06242-1
Idioma eng
Versión de la publicación acceptedVersion
Nivel de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de recurso bookPart
Tipo de acceso Abierto
Notas adicionales Chapter of the book: José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli (Eds.), Affective Analysis and Health Applications, LNCS, volume 13258, part I, Springer, pp. 426-435, 2022. DOI: https://doi.org/10.1007/978-3-031-06242-1
Notas adicionales Capítulo del libro: José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli (Eds.), Affective Analysis and Health Applications, LNCS, volume 13258, part I, Springer, pp. 426-435, 2022. DOI: https://doi.org/10.1007/978-3-031-06242-1

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Creado: Sat, 27 Jan 2024, 00:35:51 CET