You are here: Home Manual Chapter 9: Batch & Automation Introduction

Introduction

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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, SAP2011 allows you to use the output of other modules to target specific sounds, e.g., those that belong 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.


The  batch can be used to:

  • Segment the sound to syllables, compute syllable features and store them in 'syllable tables'
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  • Calculate raw features vectors from sound data and store them in 'raw feature tables'

  • Compute similarity between vocal sounds in a batch
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  • Sort sound files according to content