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Application of Hybrid CTC/2D-Attention End-to-End Model in Speech Recognition during the COVID-19 Pandemic

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Abstract

In end-to-end speech recognition task, the goal is through a network, the input ㉠ 1,…, , calculate all output tags sequence ㉠ 1,…, corresponding probability, usually ≤ , ∈ , is a finite character set, the final output is one of the biggest probability tags sequence, namely

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DOI
10.31038/mgj.2021423
OpenAlex
W4206052112
Document type
article
Language
EN
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