Overview of the similarity batch
The similarity batch allows you to perform similarity measurements on a large (even
huge) data set. It has four modes:
· Score by pairs select two ordered set A, B, of sound files, and compare
A1 against B1, A2 against B2 and so forth. The number of files in A and
B must be the same.
· M x N comparisons performs all possible comparisons between the sets
A and B. The two sets do not have to be of equal length.
· Target clusters This mode reads the syllable table, find sound of specific
type and compare them to a reference sound. For example, it can be used
to compare sounds that belong to one cluster to a target sound (e.g., model
song syllable). SA+ reads the table, detect a syllable, find the file that
contains it. Outline only this syllable and compare it to a target syllable.
· Table1 x Table2 compares all the syllables in one table to all the syllables
in the other table. SA+ reads the tables, find the file that contains each
syllable, and score similarity for all pairs of syllables across the two
tables. For example, if table 1 contains several calls of one animal, and
table 2 contains several calls from another animals, this mode will
compare calls across the two animals.
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