Publication Details

DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation and Extraction

HAN Jiangyu, LONG Yanhua, BURGET Lukáš and ČERNOCKÝ Jan. DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation and Extraction. In: Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore: IEEE Signal Processing Society, 2022, pp. 7292-7296. ISBN 978-1-6654-0540-9. Available from: https://ieeexplore.ieee.org/document/9747340
Czech title
DPCCN: Hustě propojená pyramidální komplexní konvoluční síť pro robustní separaci a extrakci řeči
Type
conference paper
Language
english
Authors
Han Jiangyu (SHNU)
Long Yanhua (SHNU)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
URL
Keywords

DPCCN, Mixture-Remix, cross-domain, speech separation, unsupervised target speech extraction

Published
2022
Pages
7292-7296
Proceedings
Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Singapore, SG
ISBN
978-1-6654-0540-9
Publisher
IEEE Signal Processing Society
Place
Singapore, SG
DOI
BibTeX
@INPROCEEDINGS{FITPUB12787,
   author = "Jiangyu Han and Yanhua Long and Luk\'{a}\v{s} Burget and Jan \v{C}ernock\'{y}",
   title = "DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation and Extraction",
   pages = "7292--7296",
   booktitle = "Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
   year = 2022,
   location = "Singapore, SG",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-6654-0540-9",
   doi = "10.1109/ICASSP43922.2022.9747340",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12787"
}
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