In the last three decades, the Steered Response Power (SRP) method has been widely used for the task of Sound Source Localization (SSL), due to its satisfactory localization performance on moderately reverberant and noisy scenarios. Many works have analyzed and extended the original SRP method to reduce its computational cost, to allow it to locate multiple sources, or to improve its performance in adverse environments. In this work, we review over 200 papers on the SRP method and its variants, with emphasis on the SRP-PHAT method. We also present eXtensible-SRP, or X-SRP, a generalized and modularized version of the SRP algorithm which allows the reviewed extensions to be implemented. We provide a Python implementation of the algorithm which includes selected extensions from the literature.

翻译：近三十年来，波束形成功率谱（Steered Response Power, SRP）方法因其在中度混响和噪声环境下令人满意的定位性能，被广泛应用于声源定位（Sound Source Localization, SSL）任务。众多研究对原始SRP方法进行了分析与扩展，以降低计算成本、实现多声源定位或提升其在恶劣环境中的性能。本文综述了200余篇关于SRP方法及其变体的文献，重点聚焦于SRP-PHAT方法。同时提出可扩展SRP（eXtensible-SRP, X-SRP），这是SRP算法的通用模块化版本，可支持所述扩展功能的实现。我们提供了该算法的Python实现，其中包含文献中选定的扩展功能。