Please use this identifier to cite or link to this item:
http://idr.nitk.ac.in/jspui/handle/123456789/7712
Title: | Capturing important information from an audio conversation |
Authors: | Roshan, S. Vinay, Kumar, S. Kumar, M. |
Issue Date: | 2017 |
Citation: | 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics, UPCON 2017, 2017, Vol.2018-January, , pp.268-272 |
Abstract: | A 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. |
URI: | http://idr.nitk.ac.in/jspui/handle/123456789/7712 |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.