Cross-word modeling for Arabic speech recognition
Dia AbuZeina, Moustafa Elshafei ([, Springer], 2012)
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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. |
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No. Panggil : | e20418404 |
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Penerbitan : | New York: [, Springer], 2012 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
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Tautan: | http://link.springer.com/book/10.1007%2F978-1-4614-1213-7 |
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No. Panggil | No. Barkod | Ketersediaan |
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e20418404 | TERSEDIA |
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