Audio summarization in real time for podcasts and speeches

This paper outlines methods for text summarizing on the text file and voice audio file conversion. In the first scenario, here converted the audio files to text format using Python tools. Text summarization is done for the latter scenario using modules from Natural Language Processing. The English data functions employ a Python framework called SpaCy. Important sentences discovered during the investigation of the extraction are used in the summarization approach. The number of times a word appears in the text file determines how much weight is given to that word. Using the main audio recording as a starting point, this method is used to create summaries.