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Continuous speech recognizer for low-end embedded devices

机译:适用于低端嵌入式设备的连续语音识别器

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This paper discusses the implementation of continuous speech recognition system for low-cost bare-metal platform. The applied algorithms are well known, however they are optimized for constrained embedded environment. System is very flexible since it uses publicly available acoustic and language models, and dictionaries, and as a result of recognition produces readable ASCII string through serial port. Performance measurements show that it is slower compared to the same algorithm running on desktop, but it keeps its recognition accuracy.
机译:本文讨论了低成本裸机平台连续语音识别系统的实现。应用的算法是众所周知的,但是它们针对受限的嵌入式环境进行了优化。该系统非常灵活,因为它使用公共可用的声学和语言模型以及字典,并且由于识别的结果,可以通过串行端口生成可读的ASCII字符串。性能测量表明,与在桌面上运行的相同算法相比,该算法要慢一些,但可以保持其识别精度。

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