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Fig. 9.16
Schematic representation on the way the ACI index is calculated. For each frequency
band is calculated the difference between each temporal datum of the spectrogram amplitude
(here,
I
). ACI can be calculated according to different temporal resolution to better fit the spectral
heterogeneity (Reproduced with permission from Pieretti et al.
2011
)
Fig. 9.17
ACI (session)
i
and ACI (session)
j
are, respectively, the vectorial transformation of the
matrix Aij according to the frequency (
f
) and the temporal (
t
) axes. In our case, the Aij is
composed of 157 classes of frequency and 60 temporal subsets (Reproduced from Farina
et al.
2011
)
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