Beyond Decodability: Do Acoustic Factors Drive Predictions in Speech-Based Alzheimer's Assessment?

arXiv:2610.01846 · cs.SD, cs.CL, cs.LG, eess.AS · Submitted 2026-10-01 · Read on arXiv

cs.SD, cs.CL, cs.LG, eess.AS

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/neselidondurma/beyond-decode

Terminology

• Alignment — 14× in this paper · explained in 1 episode
• Steering — 10× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Self-Supervised Learning — 3× in this paper · explained in 7 episodes
• Self-Supervised Learning (SSL) — 2× in this paper · explained in 4 episodes
• Activation Addition — 1× in this paper · explained in 1 episode
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• The Unreliability of Acoustic Systems in Alzheimer's Speech Datasets with Heterogeneous Recording Conditions
• MUSAN: A Music, Speech, and Noise Corpus

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