A neural network approach for speech activity detection for Apollo corpus Journal Pre-proof A neural network approach for speech activity detection for Apollo corpus Vishala Pannala, B. Yegnanarayana PII: S0885-2308(20)30070-X DOI: https://doi.org/10.1016/j.csl.2020.101137 Reference: YCSLA 101137 To appear in: Computer Speech & Language Received date: 14 July 2019 Revised date: 11 June 2020 Accepted date: 9 July 2020 Please cite this article as: Vishala Pannala, B. Yegnanarayana, A neural network approach for speech activity detection for Apollo corpus, Computer Speech & Language (2020), doi: https://doi.org/10.1016/j.csl.2020.101137 This is a PDF ﬁle of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the deﬁnitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its ﬁnal form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.