Semi-Supervised Source Localization in Reverberant Environments With Deep Generative Modeling

Localization in reverberant environments remains an open challenge. Recently, supervised learning approaches have demonstrated very promising results in addressing reverberation. However, even with large data volumes, the number of labels available for supervised learning in such environments is usu...

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Vydané v:	IEEE access Ročník 9; s. 84956 - 84970
Hlavní autori:	Bianco, Michael J., Gannot, Sharon, Fernandez-Grande, Efren, Gerstoft, Peter
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Acoustic propagation Acoustics Data models deep learning Direction of arrival Direction-of-arrival estimation Environment models generative modeling Localization Location awareness Microphones Position measurement Semi-supervised learning Signal classification Signal processing Source localization Task analysis Transfer functions
ISSN:	2169-3536, 2169-3536
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