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。

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.