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：在过去三十年间，转向响应功率（SRP）方法因在中度混响和噪声场景下具有令人满意的定位性能，被广泛应用于声源定位（SSL）任务。许多研究对原始SRP方法进行了分析和扩展，以降低其计算成本、实现多声源定位或提升其在恶劣环境下的性能。本文综述了超过200篇关于SRP方法及其变体的论文，重点关注SRP-PHAT方法。我们同时提出可扩展SRP（X-SRP），即SRP算法的通用模块化版本，支持实现本文讨论的各种扩展。我们提供了该算法的Python实现，其中包含了文献中精选的扩展功能。