Transcript-free MFCC-dominant handcrafted acoustic features plus VAD pauses yield speaker-independent AD detection at mean AUC 0.674 with a lightweight RBF-SVM on 176 balanced Pitt Cookie Theft recordings.
Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer’s disease: A systematic review,
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Transcript-Free Lightweight Detection of Alzheimer's Disease from Spontaneous Speech Using Handcrafted MFCC-Dominant Acoustic Biomarkers
Transcript-free MFCC-dominant handcrafted acoustic features plus VAD pauses yield speaker-independent AD detection at mean AUC 0.674 with a lightweight RBF-SVM on 176 balanced Pitt Cookie Theft recordings.