Table 3 Feature Matrix using various methods.
From: Artificial intelligence framework for heart disease classification from audio signals
Feature Matrix | Methods | Mean (trunc) | Std (trunc) | Median (trunc) | Skew (trunc) |
|---|---|---|---|---|---|
F_0 | MFCC 0 - 39 | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_1 | zero_crossing_rate | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_2 | spectral_rolloff | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_3 | spectral_centroid | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_4 | spectral_contrast | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_5 | spectral_bandwidth | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_6 | chroma_stft | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_7 | RMS | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
F_8 | mel-spectrogram | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) |
