刘金伟, 黄樟钦, 侯义斌, 霍思佳, 王晋嘉. 基于SystemC系统级的语音识别系统的建模及性能分析[J]. 北京工业大学学报, 2010, 36(1): 117-123.
    引用本文: 刘金伟, 黄樟钦, 侯义斌, 霍思佳, 王晋嘉. 基于SystemC系统级的语音识别系统的建模及性能分析[J]. 北京工业大学学报, 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.
    Citation: 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.

    基于SystemC系统级的语音识别系统的建模及性能分析

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

    • 摘要: 针对复杂嵌入式系统, 提出了基于SystemC的系统级设计流程和建模方法, 该方法主要包括层次化建模方法、面向对象建模技术以及“Top-Down”建模方法, 为系统级建模人员提供了指导.采用提出的系统级建模方法成功地对语音识别系统进行了建模, 并对语音识别系统的性能进行了评估分析, 分析的性能指标对语音识别算法的进一步完善提供了参考依据.

       

      Abstract: 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.

       

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