Full Description
| Responsibility Statement | Dia AbuZeina, Moustafa Elshafei |
| Language Code | eng |
| Edition | |
| Collection Source | e-Book BOPTN 2013 |
| Cataloguing Source | LibUI eng rda |
| Content Type | text (rdacontent) |
| Media Type | computer (rdamedia) |
| Carrier Type | online resource (rdacarrier) |
| Physical Description | |
| Link | http://link.springer.com/book/10.1007%2F978-1-4614-1213-7 |
- Availability
- Digital Files: 1
- Review
- Cover
- Abstract
| Call Number | Barcode Number | Availability |
|---|---|---|
| e20418404 | TERSEDIA |
| No review available for this collection: 20418404 |
Abstract
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.