Estimation of multiple sound sources with data and model uncertainties using the EM and evidential EM algorithms
We use an expectation-maximization (EM) algorithm to estimate the multiple sound sources. We improve the model by considering two kinds of uncertainties in the sound propagation and measurement process and representing them using uncertain data. We use Evidential EM (E2M) algorithm to estimate multiple sound sources in the uncertain model. Both simulation and real experiments are shown to justify the advantage of using the EM in the case without uncertainty and the E2M in the uncertain model.
evidential em algorithm sound source localization statistical inference from imprecise data belief functions