A Survey of Sound Source Localization with Deep Learning Methods [article]

Pierre-Amaury Grumiaux, Srđan Kitić, Laurent Girin, Alexandre Guérin
2022 arXiv   pre-print
This article is a survey on deep learning methods for single and multiple sound source localization. We are particularly interested in sound source localization in indoor/domestic environment, where reverberation and diffuse noise are present. We provide an exhaustive topography of the neural-based localization literature in this context, organized according to several aspects: the neural network architecture, the type of input features, the output strategy (classification or regression), the
more » ... pes of data used for model training and evaluation, and the model training strategy. This way, an interested reader can easily comprehend the vast panorama of the deep learning-based sound source localization methods. Tables summarizing the literature survey are provided at the end of the paper for a quick search of methods with a given set of target characteristics.
arXiv:2109.03465v3 fatcat:tq5vmgikwrenlbqba4lrqo3pee