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Cross-Word Modeling for Arabic Speech Recognition
SpringerBriefs in Speech Technology
Genres:
Computational linguistics, Imaging systems & technology, Natural language & machine translation, Speech recognition
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Synopsis
Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier. New & Used
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