mlsanityData to 7 Oct 2026

Detecting cognitive decline using speech only: The ADReSSo Challenge

arXiv 2104.09356 ↗First posted 23 Mar 2021eess.AS cs.CL cs.LGcited by 81

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Abstract (arXiv)

Building on the success of the ADReSS Challenge at Interspeech 2020, which attracted the participation of 34 teams from across the world, the ADReSSo Challenge targets three difficult automatic prediction problems of societal and medical relevance, namely: detection of Alzheimer's Dementia, inference of cognitive testing scores, and prediction of cognitive decline. This paper presents these prediction tasks in detail, describes the datasets used, and reports the results of the baseline classification and regression models we developed for each task. A combination of acoustic and linguistic features extracted directly from audio recordings, without human intervention, yielded a baseline accuracy of 78.87% for the AD classification task, an MMSE prediction root mean squared (RMSE) error of 5.28, and 68.75% accuracy for the cognitive decline prediction task.

Key facts. Cited by 81 papers in the map (data through 7 Oct 2026). Builds on 3 of its 36 references that are in the map. First posted on arXiv 23 Mar 2021.

Builds on

3 of 36 references.

References · 3

  1. 2020Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challengecited by 104
  2. 2020Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic reviewcited by 29
  3. 2018A Method for Analysis of Patient Speech in Dialogue for Dementia Detectioncited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 9; 2023: 9; 2024: 12; 2025: 20; 2026: 24.

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  1. 2021Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputscited by 27
  2. 2021Comparing Acoustic-based Approaches for Alzheimer's Disease Detectioncited by 21
  3. 2021Explainable Identification of Dementia from Transcripts using Transformer Networkscited by 19
  4. 2021Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Modelscited by 13
  5. 2022Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detectioncited by 12
  6. 2022Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speechcited by 10
  7. 2023LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialtiescited by 10
  8. 2022Exploring linguistic feature and model combination for speech recognition based automatic AD detectioncited by 9
  9. 2024Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speechcited by 8
  10. 2022Data Augmentation for Dementia Detection in Spoken Languagecited by 7
  11. 2022Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detectioncited by 6
  12. 2022A Multimodal Approach for Dementia Detection from Spontaneous Speech with Tensor Fusion Layercited by 6
38 more
  1. 2025CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detectioncited by 6
  2. 2023Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speechcited by 5
  3. 2024Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Examplecited by 5
  4. 2024A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detectioncited by 5
  5. 2025CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speechcited by 5
  6. 2025Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairmentcited by 5
  7. 2023Evaluating Picture Description Speech for Dementia Detection using Image-text Alignmentcited by 4
  8. 2023Transferring speech-generic and depression-specific knowledge for Alzheimer's disease detectioncited by 4
  9. 2023A Digital Language Coherence Marker for Monitoring Dementiacited by 4
  10. 2023Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementiacited by 4
  11. 2024The Unreliability of Acoustic Systems in Alzheimer's Speech Datasets with Heterogeneous Recording Conditionscited by 4
  12. 2024A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunitiescited by 4
  13. 2021Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learningcited by 3
  14. 2022Going Beyond the Cookie Theft Picture Test: Detecting Cognitive Impairments using Acoustic Featurescited by 3
  15. 2024Performance Assessment of ChatGPT vs Bard in Detecting Alzheimer's Dementiacited by 3
  16. 2024Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labelingcited by 3
  17. 2024DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speechcited by 3
  18. 2025DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Diseasecited by 3
  19. 2021A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosiscited by 2
  20. 2021Influence of ASR and Language Model on Alzheimer's Disease Detectioncited by 2
  21. 2022Automated Evaluation of Standardized Dementia Screening Testscited by 2
  22. 2024Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using Longitudinal Speech Transformercited by 2
  23. 2024Swin-BERT: A Feature Fusion System designed for Speech-based Alzheimer's Dementia Detectioncited by 2
  24. 2025Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awarenesscited by 2
  25. 2025Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detectioncited by 2
  26. 2025Temporal-Aware Iterative Speech Model for Dementia Detectioncited by 2
  27. 2026The Voice of Equity: A Systematic Evaluation of Bias Mitigation Techniques for Speech-Based Cognitive Impairment Detection Across Architectures and Demographicscited by 2
  28. 2026Breaking Data Efficiency Dilemma: A Federated and Augmented Learning Framework For Alzheimer's Disease Detection via Speechcited by 2
  29. 2026PROCESS-2: A Benchmark Speech Corpus for Early Cognitive Impairment Detectioncited by 2
  30. 2022Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry?cited by 1
  31. 2023Cost-effective Models for Detecting Depression from Speechcited by 1
  32. 2023Detecting Throat Cancer from Speech Signals using Machine Learning: A Scoping Literature Reviewcited by 1
  33. 2025Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narrativescited by 1
  34. 2025Automated Extraction of Spatio-Semantic Graphs for Identifying Cognitive Impairmentcited by 1
  35. 2025CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessmentcited by 1
  36. 2025MoTAS: MoE-Guided Feature Selection from TTS-Augmented Speech for Enhanced Multimodal Alzheimer's Early Screeningcited by 1
  37. 2025Linguistic and Audio Embedding-Based Machine Learning for Alzheimer's Dementia and Mild Cognitive Impairment Detection: Insights from the PROCESS Challengecited by 1
  38. 2023AI and Non AI Assessments for Dementiacited by 0

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