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Implementation of a real-time text dependent speaker identification system

机译：实现实时文本依赖扬声器识别系统

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Speaker recognition has received for many years the attention of researchers working in the field of signal processing, but has not yet been implemented as a reliable feature in widely spread applications. We present in this paper a real-time text dependent speaker identification application, designed to consume a low amount of memory and processing power, serving as intermediary step towards the implementation as an embedded system. The speaker identification is based on computing the Mel Frequency Cepstral Coefficients and the derived Dynamic Coefficients, while classifying features using a Dynamic Time Warping approach. The software was tested using recording equipments similar to the ones integrated into mobile devices and shown satisfactory results.
机译：扬声器认可已收到多年的研究人员在信号处理领域的关注，但尚未实施在广泛传播应用中的可靠功能。 我们在本文中存在实时文本依赖扬声器识别应用程序，旨在消耗低量的内存和处理能力，作为朝向实现的中介步骤作为嵌入式系统。 扬声器识别基于计算MEL频率谱系数和导出的动态系数，同时使用动态时间翘曲方法进行分类特征。 使用与集成到移动设备中的录音设备进行测试并显示令人满意的结果，测试了该软件。

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