Research on Feature Extraction and Recognition of Acoustic Signal Based on AR Parameters Model

Wang Yang, Hong-liang Wang, Wen-dong Zhang, Yu Jun
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Abstract

Parameter method of using AR (auto-regressive) Parameters model is one of most important way to signal extraction, analyzing the acoustic signal data from different algorithms of AR Parameters Model in this paper, proves that different outcomes attributes different extractions to by simulating and the importance of preprocessing.
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基于AR参数模型的声信号特征提取与识别研究
使用AR(自回归)参数模型的参数方法是信号提取的重要方法之一,本文通过对不同算法的AR参数模型的声学信号数据进行分析,通过仿真证明了不同提取结果的不同以及预处理的重要性。
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