Detecting dementia from speech and transcripts using transformers

Author:

Ilias LoukasORCID,Askounis DimitrisORCID,Psarras John

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference80 articles.

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2. Evaluation of acoustic features for early diagnosis of Alzheimer disease;Ammar,2019

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4. 2019 Alzheimer’s disease facts and figures;Association;Alzheimer’s Dement.,2019

5. Wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski,2020

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2. Speech as a Window to the Brain: Innovative Techniques in Early Alzheimer’s Disease Detection;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21

3. Detecting Dementia from Transcribed Speech in Slovak using Pre-trained BERT Models;2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA);2024-04-17

4. HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer’s Disease Detection From Spontaneous Speech;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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