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Cross-word modeling for Arabic speech recognition

Dia AbuZeina, Moustafa Elshafei ([, Springer], 2012)

 Abstrak

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.

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Jenis Koleksi : eBooks
No. Panggil : e20418404
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Subjek :
Penerbitan : New York: [, Springer], 2012
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik:
Tautan: http://link.springer.com/book/10.1007%2F978-1-4614-1213-7
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