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"Improving Tail Performance of a Deliberation E2E ASR Model Using a Large ..."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Cal Peyser et al. (2020)

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DOI: 10.21437/INTERSPEECH.2020-1465

access: open

type: Conference or Workshop Paper

metadata version: 2021-01-29

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  dblp key:
  - conf/interspeech/PeyserMSAPK20
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  - https://dblp.org/rec/conf/interspeech/PeyserMSAPK20
Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar:
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. INTERSPEECH 2020: 4921-4925

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last updated on 2021-01-29 17:40 CET by the dblp team

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