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. |
 Cross-Word Modeling for Arabic Speech Recognition.pdf :: Unduh
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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 |
| Deskripsi Fisik: | |
| 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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| Tidak ada ulasan pada koleksi ini: 20418404 |
