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Learning Environmental Structure Using Acoustic Probes with a Deep ...
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May 5, 2023 · We develop a convolutional neural network method for robust 2D boundary estimation, given known emitter and receiver locations.
Jun 21, 2023 · ABSTRACT. Learning the physical environment is an important yet chal- lenging task in reverberant settings such as the underwater.
Learning the physical environment is an important yet challenging task in reverberant settings such as the underwater and indoor acoustic domains.
Learning Environmental Structure Using Acoustic Probes with a Deep Neural Network. June 2023. DOI:10.1109/ICASSP49357.2023.10094978. Conference: ICASSP 2023 ...
This article is a survey of deep learning methods for single and multiple sound source localization, with a focus on sound source localization in indoor ...
Learning Environmental Structure Using Acoustic Probes with a ...
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An intriguing yet unexplored avenue for enhancing deep learning in bioacoustics involves the utilization of contextual information, such as time and location.
Missing: Structure Probes
In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification (ASC) and a visualization method for presenting a sound scene ...
Jan 25, 2024 · In this article, we present a deep convolutional recurrent autoencoder network (CRAN) for data-driven learning of complex underwater wave scattering and ...
In this report, a method based on con- volutional neural networks is applied for acoustic scene classification. The task cor- responds to the first ...