基于DTW和DAS波束形成的识别系统

M. Papez, K. Vlcek
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引用次数: 0

摘要

本文介绍了一种基于麦克风阵列噪声滤波的隔离序列识别系统。传声器阵列的结构是澄清波束形成器空间滤波的一个重要问题。波束形成是一种处理麦克风阵列数据以产生表示声源强度分布的图像的方法。识别系统是基于分类系统模式的。在这些系统中,声音或声音序列,如音素、音素组或单词由不同的类来建模。识别系统的目标是估计正确的类别、声音序列,这些类别、声音组成了输入的话语,因此,也就是被复制的声音。特别是,引入了许多新的时间序列之间的距离度量。在基于时间序列分析的识别系统中,讨论了基于空间滤波预处理的动态时间规整算法。
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Recognition System Based on DTW and DAS Beamforming
In this article a recognition system of isolated sequences based on noise filtration by microphone array is described. The configuration of microphone array has an important issue for clarification of beamformer spatial filtration. Beamforming is a method for processing microphone array data to produce images that represent the distribution of the acoustic source strength. Recognition systems are based on classification systems pattern. In these systems, sounds or sequences of sounds, such as phonemes, groups of phonemes, or words are modeled by distinct classes. The goal of the recognition system is to estimate the correct sequence of classes, sounds, that make up the incoming utterance and hence, the sounds that were reproduced. In particular, many new distance measures between time series have been introduced. The recognition system based on time series analysis, where the Dynamic time warping algorithm based on spatial filtration preprocessing is discussed.
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