  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.
