1. Map the time-series of (e.g.) f0 into a point (in a multi-
dimensional space).
2. Make a cloud of points, one for each
utterance or syllable.
3. Find how to divide that cloud to best
reproduce the human classification.
4. The accuracy of the machine classification
is a measure of how much information is
carried by each acoustic property.