Dec 19, 2023 · This paper presents a deep learning (DL) approach, based on dense convolutional neural networks, to improve the localization of target ...
This paper presents a deep learning (DL) approach, based on dense convolutional neural networks, to improve the localization of target sources in motion ...
Article "Dense-U-Net assisted Localization of Speech Sources in Motion under Reverberant conditions" Detailed information of the J-GLOBAL is an information ...
Dense-U-Net assisted Localization of Speech Sources in Motion under Reverberant conditions ... sources in motion under reverberant, noisy conditions in an indoor ...
2018. Dense-U-Net assisted Localization of Speech Sources in Motion under Reverberant conditions. J Datta, M Adams, C Perez. 2023 12th International Conference ...
A practical methodology for speech source localization with ... Dense-U-Net assisted Localization of Speech Sources in Motion under Reverberant conditions.
This paper presents a novel approach for indoor acoustic source localization using microphone arrays, based on a Convolutional Neural Network designed to ...
Jul 5, 2022 · This article is a survey of deep learning methods for single and multiple sound source localization, with a focus on sound source ...
Missing: Motion | Show results with:Motion
[PDF] Noisy-Reverberant Speech Enhancement Using DenseUNet ...
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The proposed DenseUNet+TFA model performs the best under most conditions. Motivated by the need to aggregate contextual information among different T-F units, ...
Missing: assisted Localization Motion
Sep 3, 2020 · ... Dense-Unet in simulated and real reverberant conditions. In recorded reverberant conditions, the simultaneous grouping module of two-stage ...
Missing: assisted Localization Motion