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Multiple sound source tracking by two microphones using PSO

机译:使用PSO通过两个麦克风跟踪多个声源

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摘要

In this paper, a method for multiple sound source tracking by two microphones is proposed. PSO (Particle Swarm Optimization) is used for searching multiple peaks on MUSIC (MUltiple SIgnal Classification) spectrum. In addition, a difficulty which the tracking fails when a speech returns to a utterance period after a silent period is resolved. Then, a penalty function is added in an evaluation function of PSO, in which a weighted histogram of DOA (Direction-Of-Arrival) estimation results in time-frequency region is used as the penalty. Several experiments were conducted in an actual room to evaluate the effectiveness of the proposed method.
机译:本文提出了一种利用两个麦克风进行多声源跟踪的方法。 PSO(粒子群优化)用于在MUSIC(多信号分类)频谱上搜索多个峰。另外,解决了在静默时段之后语音返回发声时段时跟踪失败的困难。然后,将惩罚函数添加到PSO的评估函数中,其中将时频区域中DOA(到达方向)估计结果的加权直方图用作惩罚。在实际房间中进行了几次实验,以评估该方法的有效性。

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