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001     1013080
005     20251009141702.0
024 7 _ |2 arXiv
|a arXiv:2501.18895
024 7 _ |2 DOI
|a 10.48550/ARXIV.2501.18895
037 _ _ |a RWTH-2025-05325
041 _ _ |a English
100 1 _ |0 P:(DE-82)961372
|a Xu, Jingjing
|b 0
|u rwth
245 _ _ |a Efficient Supernet Training with Orthogonal Softmax for Scalable ASR Model Compression
|h online
260 _ _ |c 2025
300 _ _ |a 5 Seiten
336 7 _ |0 28
|2 EndNote
|a Electronic Article
336 7 _ |0 PUB:(DE-HGF)25
|2 PUB:(DE-HGF)
|a Preprint
|b preprint
|m preprint
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 DRIVER
|a preprint
336 7 _ |2 DataCite
|a Output Types/Working Paper
336 7 _ |2 ORCID
|a WORKING_PAPER
591 _ _ |a Germany
700 1 _ |a Beck, Eugen
|b 1
|e Corresponding author
700 1 _ |0 P:(DE-82)819179
|a Yang, Zijian
|b 2
|u rwth
700 1 _ |0 P:(DE-82)IDM00585
|a Schlüter, Ralf
|b 3
|u rwth
909 C O |o oai:publications.rwth-aachen.de:1013080
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914 1 _ |y 2025
920 1 _ |0 I:(DE-82)122010_20140620
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920 1 _ |0 I:(DE-82)120000_20140620
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980 _ _ |a I:(DE-82)120000_20140620
980 _ _ |a I:(DE-82)122010_20140620
980 _ _ |a UNRESTRICTED
980 _ _ |a VDB
980 _ _ |a preprint


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