Enhanced Speech Recognition & Abstractive Text Summarisation with wav2vec2 & Pegasus
Tanishque Sharma, Sujoy Mondol, Sandeep Kumar
Speech recognition, text summarization, machine learning, Wav2Vec2, Pegasus model, Python programming, data processing, knowledge extraction, audio-totext conversion, information retrieval, natural language processing.
In this study, Python machine learning techniques are used to present a comprehensive method for integrating text summarization with speech recognition. It leverages the cuttingedge Wav2Vec2 algorithm for accurate voice recognition, as well as the pre-trained Pegasus model for concise and informative text summaries. This research aims to develop an integrated model that can efficiently translate spoken language into written text and provide brief, logical summaries. This combination of technologies makes data analysis and understanding more efficient by addressing the increasing need to analyze and extract knowledge from large volumes of spoken content. As a result of the combination of these two potent machine learning methods, transcriptions are guaranteed to be accurate, as well as knowledge extraction is accelerated. Utilizing Wav2Vec2's spoken language handling capabilities and Pegasus's text summarization expertise, the proposed method bridges the gap between oral and written communication. A variety of applications are possible, such as transcribing speeches and interviews and condensing lengthy audio files.
Article Details
Unique Paper ID: 163182

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 982 - 991
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews