Paper Title :Meeting Recap Automation: Leveraging NLP and Pretrained Models for Effortless Summaries

Author :Kamaraj K, Dheepakh Bala T, Divya S P, Gayathri Devi P

Article Citation :Kamaraj K ,Dheepakh Bala T ,Divya S P ,Gayathri Devi P , (2024 ) " Meeting Recap Automation: Leveraging NLP and Pretrained Models for Effortless Summaries " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 112-116, Volume-12,Issue-3

Abstract : This research paper delves into the optimization of audio recordings conversion into textual meeting minutes, leveraging pre-trained Natural Language Processing (NLP) models to enhance transcription accuracy and efficiency. It introduces tokenization, a fundamental NLP technique, which dissects text into meaningful units, facilitating subsequent analysis. The paper explores post-processing methods to refine NLP model outputs, ensuring the coherency and conciseness of the generated meeting minutes. Additionally, the text-based meeting minutes are subjected to further summarization using pre-trained models, offering improved accessibility and actionability for meeting participants and stakeholders. The ultimate goal of this research is to streamline and enhance the meeting documentation process, bridging the gap between spoken content and meaningful textual insights, thereby facilitating more effective decision-making and knowledge management. Keywords - Speech Recognition, Voice Recording Transcription, Tokenization, Text Summarization.

Type : Research paper

Published : Volume-12,Issue-3

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