文件名称：Small Footprint Neural Networks for Acoustic Direction of Arriva
文件大小：368KB
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更新时间：2022-09-30 11:45:12
doa tdoa cnn 神经网络 深度学习
In this paper we propose acoustic direction of arrival (DOA) estimation with neural networks. Conventional signal processing tasks such as DOA estimation have benefited from recent advancements in deep learning, which leads to a data-driven approach that allows neural networks to be employed in a black-box manner. From traditional aspects, modern network models often lack interpretability when directly employed in signal processing realm. As an alternative, we introduce a learnable network from