Cross-Word Modeling for Arabic Speech Recognition
Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
| Author: | Dia AbuZeina, Moustafa Elshafei | ISBN: | 9781461412137 |
| Publisher: | Springer New York | Publication: | November 25, 2011 |
| Imprint: | Springer | Language: | English |
| Author: | Dia AbuZeina, Moustafa Elshafei |
| ISBN: | 9781461412137 |
| Publisher: | Springer New York |
| Publication: | November 25, 2011 |
| Imprint: | Springer |
| Language: | English |
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 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.
