Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/7712
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dc.contributor.authorRoshan, S.
dc.contributor.authorVinay, Kumar, S.
dc.contributor.authorKumar, M.
dc.date.accessioned2020-03-30T10:02:40Z-
dc.date.available2020-03-30T10:02:40Z-
dc.date.issued2017
dc.identifier.citation2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics, UPCON 2017, 2017, Vol.2018-January, , pp.268-272en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7712-
dc.description.abstractA conversation between people can involve exchange of important information. Often in an ongoing conversation, someone has to manually keep on taking notes of important points. This is a tedious process and can involve errors. In today's era of technology, there is a need for an automated process for extracting important information from a conversation, with minimal manual efforts. In this paper, we propose methods of transcribing a conversation between two people. We will consider two major modes of conversation-when the conversation is happening over a phone call, and when the conversation is happening in person. In addition to transcribing a conversation, this paper will also suggest ways to extract important parts of a conversation. We will extract important information from a conversation, using three different approaches-noun phrase extraction, named entity extraction and open information extraction method. Since current mobile operating systems provide limited support for transcribing a phone call, we will suggest ways of transcribing a call, and extracting important information from it. � 2017 IEEE.en_US
dc.titleCapturing important information from an audio conversationen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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