基于STM32的嵌入式语音识别模块实现

Qinglin Qu, Liangguang Li
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引用次数: 14

摘要

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精度,并在嵌入式系统上实现该模块,在分析语音识别原理的基础上,设计了一种基于ARM的嵌入式独立于说话人的孤立词语音识别系统。该系统采用DTW算法,并利用平行四边形对算法进行改进,提取特征参数并对结果进行识别。为了独立完成语音识别,系统采用STM32系列芯片结合其他外部电路。语音识别测试结果可以达到90%,满足了识别实时性的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Realization of embedded speech recognition module based on STM32
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.
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