Speaker localization based on ratio between the second and the first eigenvalue

Xiaojun Xiong, Haiyan Zhang, Xinwang Wan
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引用次数: 0

Abstract

To locate the position of the speaker, there are many methods, among of them, the method using steered response power is very popular. By phase transform, the steered response method (SRP-PHAT) is robust; with the noise increasing, the performance of the method becomes bad. Using principal eigenvector, the steered response power (SRP-PE) method is better than SRP-PHAT. In this paper, we propose an improved SRP-PE method, which only uses the frequencies with small ratio between the second and the first eigenvalue to estimate the sound source location. Simulation results show that similar to the SRP-PE algorithm, the localization accuracy of the improved SRP-PE method is better than the SRP-PHAT method; moreover, compared to the SRP-PE, the proposed algorithm has lower computational complexity.
基于第二特征值与第一特征值之比的说话人定位
定位扬声器位置的方法有很多种,其中利用转向响应功率的方法比较流行。通过相位变换,转向响应方法(SRP-PHAT)具有鲁棒性;随着噪声的增大,该方法的性能变差。利用主特征向量,转向响应功率(SRP-PE)方法优于SRP-PHAT方法。本文提出了一种改进的SRP-PE方法,该方法仅使用第二特征值与第一特征值之比较小的频率来估计声源位置。仿真结果表明,与SRP-PE算法相似,改进的SRP-PE方法的定位精度优于SRP-PHAT方法;此外,与SRP-PE算法相比,该算法具有较低的计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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