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pro vyhledávání: '"Lan McGraw"'
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ICASSP
We study the problem of compressing recurrent neural networks (RNNs). In particular, we focus on the compression of RNN acoustic models, which are motivated by the goal of building compact and accurate speech recognition systems which can be run effi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1924e316c71c939d49f298208b0087b
