Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer’s Disease

  • The PSEN1-E280A or Paisa mutation is responsible for most of Early-Onset Alzheimer’s (EOA) disease cases in Colombia. It affects a large kindred of over 5000 members that present the same phenotype. The most common symptoms are related to language disorders, where speech fluency is also affected due to the difficulty to access semantic information intentionally. This study proposes the use of acoustic and linguistic methods to extract features from speech recordings and their transcriptions to discriminate people with conditions related to the Paisa mutation. We consider state-of-the-art word-embedding methods like Word2Vec and Bidirectional Encoder Representations from Transformer to process the transcripts. The speech signals are modeled by using traditional acoustic features and speaker embeddings. To the best of our knowledge, this is the first study focused on evaluating genetic Alzheimer’s and EOA using acoustics and linguistics.

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Author:P. A. Perez-Toro, J. C. Vasquez-Correa, T. Arias-Vergara, P. Klumpp, M. Sierra-Castrillon, M. E. Roldan-Lopez, D. Aguillon, L. Hincapie-Henao, C. A. Tobon-Quintero, Tobias BockletORCiD, M. Schuster, J. R. Orozco-Arroyave, E. Nöth
DOI:https://doi.org/10.1109/ICASSP39728.2021.9414009
ISBN:978-1-7281-7605-5
Parent Title (English):ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher:IEEE
Document Type:conference proceeding (article)
Language:English
Reviewed:Begutachtet/Reviewed
Release Date:2024/07/02
Tag:Acoustic Analysis; Alzheimer’s Disease; Linguistic Analysis; PSEN1–E280A
Pagenumber:8338 - 8342
First Page:8338
Last Page:8342
Konferenzangabe:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 06-11 June 2021, Toronto, ON, Canada
institutes:Fakultät Informatik
Zentrum für Künstliche Intelligenz (KIZ)
Research Themes:Digitalisierung & Künstliche Intelligenz
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