The identification of sound sources is a common problem in acoustics. Different parameters are sought, among these are signal and position of the sources. We present an adjoint-based approach for sound source identification, which employs computational aeroacoustic techniques. Two different applications are presented as a proof-of-concept: optimization of a sound reinforcement setup and the localization of (moving) sound sources.

翻译：确定声源是声学中常见的问题,寻求不同的参数,其中包括信号和源的位置,我们提出一种基于联合的声源识别方法,采用计算空气声学技术,两种不同的应用作为概念的证明:优化音源增强装置和声源(移动)本地化。