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Cross-Word Modeling for Arabic Speech Recognition
"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 provi...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2012
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| Acceso en línea: | https://dx.doi.org/10.1007/978-1-4614-1213-7 http://cds.cern.ch/record/1486664 |
| Sumario: | "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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