What is "features batch"?
In this chapter we document two types of batch operations: features batch and similarity
batch. The features batch is design to process a large amount of sound data stored as
wave files. Similarity batch can perform many thousands of similarity measurement
automatically. In addition to adding sound files manually, SA+ allows you to use the
output of other modules to target specific sounds, e.g., those that belongs to a certain
cluster. In general, all the fields in a syllable table can be used to quarry retrieval of two
sets of sounds followed by MxN similarity measurements.
Feature batch can be used to:
· calculate raw features from sound data
· Segment the sound to syllables, compute syllable features and store them
in tables
· Sort sound files according to content
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