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Comparing Acoustic-based Approaches for Alzheimer's Disease Detection

arXiv 2106.01555 ↗First posted 3 Jun 2021cs.CL cs.SD eess.AScited by 21

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Abstract (arXiv)

Robust strategies for Alzheimer's disease (AD) detection are important, given the high prevalence of AD. In this paper, we study the performance and generalizability of three approaches for AD detection from speech on the recent ADReSSo challenge dataset: 1) using conventional acoustic features 2) using novel pre-trained acoustic embeddings 3) combining acoustic features and embeddings. We find that while feature-based approaches have a higher precision, classification approaches relying on pre-trained embeddings prove to have a higher, and more balanced cross-validated performance across multiple metrics of performance. Further, embedding-only approaches are more generalizable. Our best model outperforms the acoustic baseline in the challenge by 2.8%.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 13 of its 24 references that are in the map. First posted on arXiv 3 Jun 2021.

Builds on

13 of 24 references.

References · 13

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  4. 2017Recent Trends in Deep Learning Based Natural Language Processingcited by 262
  5. 2021Detecting cognitive decline using speech only: The ADReSSo Challengecited by 81
  6. 2020To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detectioncited by 49
  7. 2020Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severitycited by 16
  8. 2020The INESC-ID Multi-Modal System for the ADReSS 2020 Challengecited by 15
  9. 2019Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Otherscited by 8
  10. 2018Detecting cognitive impairments by agreeing on interpretations of linguistic featurescited by 6
  11. 2018The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speechcited by 5
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1 more
  1. 2020Augmenting BERT Carefully with Underrepresented Linguistic Featurescited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 4; 2023: 3; 2024: 4; 2025: 6; 2026: 3.

21 papers.

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  1. 2021Detecting Dementia from Speech and Transcripts using Transformerscited by 13
  2. 2022Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detectioncited by 12
  3. 2023Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detectioncited by 11
  4. 2025Reasoning-Based Approach with Chain-of-Thought for Alzheimer's Detection Using Speech and Large Language Modelscited by 8
  5. 2024Infusing Acoustic Pause Context into Text-Based Dementia Assessmentcited by 5
  6. 2024HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speechcited by 4
  7. 2022Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Datacited by 3
  8. 2023Learning Co-Speech Gesture for Multimodal Aphasia Type Detectioncited by 2
  9. 2024Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using Longitudinal Speech Transformercited by 2
  10. 2024Swin-BERT: A Feature Fusion System designed for Speech-based Alzheimer's Dementia Detectioncited by 2
  11. 2022Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry?cited by 1
  12. 2023Cost-effective Models for Detecting Depression from Speechcited by 1
9 more
  1. 2025Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learningcited by 1
  2. 2025MoTAS: MoE-Guided Feature Selection from TTS-Augmented Speech for Enhanced Multimodal Alzheimer's Early Screeningcited by 1
  3. 2026Bias and Fairness in Self-Supervised Acoustic Representations for Cognitive Impairment Detectioncited by 1
  4. 2022Nonwords Pronunciation Classification in Language Development Tests for Preschool Childrencited by 0
  5. 2025SoftStep: Learning Sparse Similarity Powers Deep Neighbor-Based Regressioncited by 0
  6. 2025Recognizing Dementia from Neuropsychological Tests with State Space Modelscited by 0
  7. 2025Foundation Model-based Evaluation of Neuropsychiatric Disorders: A Lifespan-Inclusive, Multi-Modal, and Multi-Lingual Studycited by 0
  8. 2026A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learningcited by 0
  9. 2026Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detectioncited by 0