A new language model for an automatic Arabic speech recognition system

被引：0
|
作者：
Rashwan, M. [1 ]
机构：
[1] Cairo Univ., Faculty of Eng., Electronics and Communications Dept., Cairo, Egypt
来源：
Journal of Engineering and Applied Science | 2002年 / 49卷 / 01期
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摘要：
A new language model for Arabic language for large vocabulary automatic speech recognition (ASR) is introduced. The derivative feature of the Arabic word is quite useful in dividing the process into two M-gram phases. The fixed words, the prefix, using the suffix and the form of the derivative words are determined through phase-1M-gram, of course, given the acoustic data. In phase 2, another M-gram is used to determine the roots of the derivative words. The idea was tested on 60 words (10 roots × 6 forms). Results are encouraging, and more work should follow to realize a complete large vocabulary ASR for Arabic language.
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页码：175 / 193
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