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Decoupling Temporal Convolutional Networks Model in Sound Event Detection and Localization

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成果类型:
期刊论文
作者:
Song, Shen;Zhang, Cong;You, Xinyuan
作者机构:
[Zhang, Cong; Song, Shen; You, Xinyuan] Wuhan Polytech Univ, Sch Math & Comp, Wuhan, Peoples R China.
语种:
英文
关键词:
Decoupling;Dilated convolution;Causal convolution;Mask;Temporal convolutional network
期刊:
JOURNAL OF INTERNET TECHNOLOGY
ISSN:
1607-9264
年:
2023
卷:
24
期:
1
页码:
89-99
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
Sound event detection is sensitive to the network depth, and the increase of the network depth will lead to a decrease in the event detection ability. However, event localization has a deeper requirement for the network depth. In this paper, the accuracy of the joint task of event detection and localization is improved by decoupling SELD-TCN. The joint task is reflected in the early fusion of primary features and the enhancement of the generalization ability of the sound event detection branch as the DOA branch mask, while the advanced feature extraction and recognition of the two branches are...

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