3 accepted papers
We propose a data-driven partial differential equation (PDE) identification scheme based on ℓ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> -norm minimization which can identify spatially-dependent PDEs from measurements. Spatially-dependent P…
Machine learning (ML) approaches to source localization have demonstrated promising results in addressing reverberation. Even with large data volumes, the number of labels available for supervised learning in such environments is usually small. This challenge has recently been addressed using semi-s…
This paper presents SSLIDE, Sound Source Localization for Indoors using DEep learning, which applies deep neural networks (DNNs) with encoder-decoder structure to localize sound sources with random positions in a continuous space. The spatial features of sound signals received by each microphone are…