Reads a text and selects sentences from it in order to create a body of text that is both naturalistic and has a roughly equal distributions of English diphones.
The main script is in cleanup.py.
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Takes a text and parses it into sentences. Then uses nltk to determine the most common phonemes in the text, and chooses sentences that are both short and contain high numbers of common phonemes.
hudsonmiears/Automatic-Text-Selector
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Takes a text and parses it into sentences. Then uses nltk to determine the most common phonemes in the text, and chooses sentences that are both short and contain high numbers of common phonemes.
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