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Found 5 papers, 0 papers with code
Audio scene monitoring using redundant ad-hoc microphone array networks
The DOAs are fed to a fusion center, concatenated, and used to perform the localization based on two proposed methods, which require only few labeled source locations (anchor points) for training.
Semi-supervised source localization in reverberant environments with deep generative modeling
As far as we are aware, our paper presents the first approach to modeling the physics of acoustic propagation using deep generative modeling.
SSLIDE: Sound Source Localization for Indoors based on Deep Learning
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.
Semi-supervised source localization with deep generative modeling
We propose a semi-supervised localization approach based on deep generative modeling with variational autoencoders (VAEs).
Machine learning in acoustics: theory and applications
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science.
