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Cross-Word Modeling for Arabic Speech Recognition

Cross-Word Modeling for Arabic Speech Recognition

Dia AbuZeina, Moustafa Elshafei (auth.)
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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.

Kategoriler:
Yıl:
2012
Baskı:
1
Yayımcı:
Springer-Verlag New York
Dil:
english
Sayfalar:
74
ISBN 10:
1461412137
ISBN 13:
9781461412137
Seriler:
SpringerBriefs in Electrical and Computer Engineering
Dosya:
PDF, 1.02 MB
IPFS:
CID , CID Blake2b
english, 2012
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