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Table 4 Common acoustic features obtained by applying ANOVA, RF and mRMR feature selection methods on the recorded audio files of PDT and SRT

From: Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities

PD Task

SR task

MFCC 13 (mean)

MFCC 12,13 (skew)

MFCC 12,13 (kurt)

ΔMFCC 3,4,6,13 (mean)

MFCC 10,13 (skew)

ΔMFCC 4 (skew)

ΔMFCC 2,11 (mean)

ΔLSP freq 7 (mean)

ΔMFCC 2,3,6,7 (kurt)

ΔLSP freq 3,6 (kurt)

ΔMFCC 6,11,13 (skew)

Loudness (kurt, skew)

ΔLSP freq 3,5 (mean)

ΔLoudness (kurt, skew)

ΔLSP freq 2,6 (kurt)

F0 (kurt)

ΔLSP freq 1 (skew)

ΔF0 (mean)