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Online Meeting Summary Generator
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 16 |
| Year of Publication: 2023 |
| Authors: Yashodara P.H.E., Ranepura R.S., Bhashitha W.P.K.K., Thilakarathne M.H.K.T.S., Anuradha Karunasena, Pradeepa Bandara |
10.5120/ijca2023922864
|
Yashodara P.H.E., Ranepura R.S., Bhashitha W.P.K.K., Thilakarathne M.H.K.T.S., Anuradha Karunasena, Pradeepa Bandara . Online Meeting Summary Generator. International Journal of Computer Applications. 185, 16 ( Jun 2023), 33-39. DOI=10.5120/ijca2023922864
Abstract
Automated meeting minutes are a technological solution that can revolutionize the way organizations conduct meetings. Traditional meetings can be time-consuming, and inefficient, and often result in incomplete or inaccurate meeting minutes. Automated meeting minutes can address these issues by providing several advantages over traditional methods. The purpose of this research paper is to explore the development of an automated system for generating meeting minutes in the IT industry. The current manual process of creating meeting minutes can be time-consuming and prone to errors. The proposed system will use Speech Emotion Recognition (SER) technology to identify the emotional levels of meeting attendees, such as anger, joy, or neutral emotion, and analyze meeting progress using those emotional levels. The system will generate a meeting summary report that includes meeting objectives, attendance, decisions, issues, information on the next meeting, action items, and progress reports. It also aims to address the challenges faced by organizations when manually creating meeting minutes by automating the process. The proposed system will include important components such as meeting objectives, attendance, decisions, and issues, information on the next meeting, action items, progress reports, and emotional sensitivity analysis. The purpose of this research is to provide users in the IT industry with an interactive analysis of the meeting summary from various standpoints, including generating a meeting minute according to the agenda, identifying the action items of each attendee, tracking the progress of previous actions, and analyzing emotional sensitivity. The proposed system will utilize Speech Emotion Recognition (SER) technology to identify the emotional levels of meeting attendees, such as anger, joy, or neutral emotion, and analyze meeting progress using those emotional levels. The research aims to improve the efficiency and accuracy of meeting minutes in the IT industry and provide a more effective way of conducting meetings.
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