Multimedia Text Summary Generator For Visually Impaired
Shreya Banerjee, Rachana B. Karennavar, Prerana Sirigeri, R. Jayashree · 2021
With the advancing methodologies in the field of NLP, text summarization have been evolved to its best since the beginning and is still under research. As the visually impaired have become a part of our society it gives us an opportunity to make use of the technological advances to make their lives easier. As even a normal person cannot sit listening to long audio news and doesn't have time reading long news articles, this gave us an inspiration that led to the idea of our project to generate concise and short summaries for the visually impaired people. This research work attempts to implement NLP summarization techniques to come up with the short summaries for the text extracted from the long audio files. The text from the audio files are to be extracted first using various api's which would be sent to summarize. Additionally this research work also plans to summarize multiple documents to a single short summary by getting its references from different news articles. To make it user friendly we are converting the generated summary back to audio format, which will be easier to listen to anywhere and anytime. It becomes our responsibility to contribute something back to society and this project will make the news reading easier and interesting to the people.