Automated Youtube Video Transcription To Summarized Text Using Natural Language Processing
P. Nagaraj, Venkatkumar Muneeswaran, B Rohith, B Sai Vasanth, G Veda Varshith Reddy, A Koushik Teja · 2023
This paper proposes video transcription using python language. With the adding quantum of videotape data generated every day, it has come important to epitomize the videos for faster reclamation and quick surfing of vids so that druggies can select the more applicable videotape for viewing as per their demand. The significance of videotape summarization lies in the fact that it helps in effective storage and allows quick browsing through a large number of videos. We propose a system to induce summaries for videos by utilizing the audio element. Our videotape summarization approach involves generating the audio paraphrase, using speech recognition, if it isn’t readily available. It’s grounded on assigning scores to rulings in the reiterations and opting for the bones with the loftiest scores. Also from the original videotape, parts corresponding to the named rulings are uprooted and intermingled to gain the final summary.