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A Set of DSP System to Detect Baby Crying

机译:一套检测婴儿啼哭的DSP系统

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摘要

In order to improve the quality of infant health care, the function of baby crying recognition is proposed to be added to the nursery box. The hardware core is consist of digital signal processor (DSP) chip TMS320DM643 and multimedia audio codec chip TLC320AIC23B, which will perform well in real time to recognize baby crying. After the baby crying signal is collected by pickups, it will be processed by the audio decoder chip and then sent it to the DSP chip. In the DSP chip, the sound signal will be preprocessed and extracted for the characteristic parameters - linear prediction coefficient (LPC) by optimized autocorrelation function algorithm. It will be recognized accurately by the method of dynamic time regular (DTW) recognition algorithm, and then the results are sent to the host computer through the serial port. It is proved that the accuracy of the baby crying state can be recognized as high as 97.1%, this study is of great importance in the field of infant care.
机译:为了提高婴儿保健的质量,建议将婴儿哭泣识别功能添加到保育箱中。硬件核心由数字信号处理器(DSP)芯片TMS320DM643和多媒体音频编解码器芯片TLC320AIC23B组成,它们可以实时良好地识别婴儿的哭声。婴儿的哭声信号被拾音器收集后,将由音频解码器芯片进行处理,然后将其发送到DSP芯片。在DSP芯片中,将通过优化的自相关函数算法对声音信号进行预处理并提取特征参数-线性预测系数(LPC)。通过动态时间规则(DTW)识别算法将其准确识别,然后将结果通过串行端口发送到主机。事实证明,婴儿哭泣状态的准确率可以达到97.1%,这一研究在婴儿护理领域具有重要意义。

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