| 基于MPC5200的嵌入式非特定人连续语音识别系统 |
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| 作者姓名： | 刘 斌 杜利民 |
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| 作者单位： | 中国科学院声学研究所语音交互技术中心，北京 100080 |
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| 摘 要： | 非特定人连续语音识别系统具有非常高的计算复杂度，对系统的硬件资源有很高的要求，本文针对该问题设计了一款基于MPC5200微处理器的嵌入式平台，在该平台上实现了基于隐含马尔可夫模型的非特定人连续语音识别系统，实验结果表明该嵌入式语音识别系统达到了实时识别的要求。
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| 关 键 词： | 语音识别 隐含马尔可夫模型 嵌入式系统 MPC5200 |
Embedded Speaker-Independent Continuous Speech Recognition System Based on MPC5200 |
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| Authors: | LIU Bin DU Li-Min |
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| Institution: | Labs for Speech Interaction Technology Research, ;Institute of Acoustics, Chinese Academy of Sciences, Beijing 100080 ; |
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| Abstract: | The embedded systems’ ability is not enough to run HMM-based speaker-independent continuous speech recognition algorithms, especially the search algorithm and the state likelihood computation. This paper proposes an embedded platform based on MPC5200 microprocessor, and implements a HMM-based speaker-independent continuous speech recognition system on this embedded platform. The experiments show that the real-time performance of this embedded speech recognition system is acceptable. |
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| Keywords: | speech recognition HMM embedded system MPC5200 |
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