System-level Modeling and Performance Evaluation of Speech Recognition System Based on SystemC

LIU Jin-wei; HUANG Zhang-qin; HOU Yi-bin; HUO Si-jia; WANG Jin-jia

Journal of Beijing University of Technology > 2010 > 36(1): 117-123.

LIU Jin-wei, HUANG Zhang-qin, HOU Yi-bin, HUO Si-jia, WANG Jin-jia. System-level Modeling and Performance Evaluation of Speech Recognition System Based on SystemC[J]. Journal of Beijing University of Technology, 2010, 36(1): 117-123.

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System-level Modeling and Performance Evaluation of Speech Recognition System Based on SystemC

College of Computer Science, Beijing University of Technology, Beijing 100124, China

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Received Date: April 27, 2008
Available Online: December 29, 2022

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With the development of IC technology, the system which increases complexity requires design at a higher level of abstraction.In this paper, systemlevel design flow and modeling methods based on SystemC for complex embedded systems are introduced.The method includes the hierarchical modeling methods, object-oriented modeling technology, and the "Top-Down" modeling methods, and provides system-level modeling guidance for designers.By using the system-level modeling method, the speech recognition system has been modeled successfully, and the performance of speech recognition system has been analyzed.The performance analysis results provide an effective reference on refined the speech recognition algorithm in further.
- SystemC,
- system-level design,
- simulation,
- modeling,
- performance evaluation

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