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Realization of embedded speech recognition module based on STM32

机译:基于STM32的嵌入式语音识别模块的实现

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Speech recognition is the key to realize man-machine interface technology. In order to improve the accuracy of speech recognition and implement the module on embedded system, an embedded speaker-independent isolated word speech recognition system based on ARM is designed after analyzing speech recognition theory. The system uses DTW algorithm and improves the algorithm using a parallelogram to extract characteristic parameters and identify the results. To finish the speech recognition independently, the system uses the STM32 series chip combined with the other external circuitry. The results of speech recognition test can achieve 90%, and which meets the real-time requirements of recognition.
机译:语音识别是实现人机界面技术的关键。为了提高语音识别的准确性,并在嵌入式系统上实现该模块,在分析语音识别理论的基础上,设计了一种基于ARM的嵌入式独立于说话人的隔离词语音识别系统。该系统使用DTW算法,并使用平行四边形对算法进行改进,以提取特征参数并识别结果。为了独立完成语音识别,系统使用了STM32系列芯片和其他外部电路。语音识别测试结果可以达到90%,符合实时识别要求。

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