Transforming PDFs into Summaries and Audio: A New Approach with T5 and gTTS

Ankit RajAnkit Raj
2 min read

Hey everyone,

I am thrilled to share a major milestone with you all! Our research paper titled "Deep Learning-Based Text Summarization System using T5 small and gTTS" has just been published in the 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS), hosted by IEEE!

What We Have Been Up To:

So, you might be wondering what this research is all about. Well, we have been diving deep into how we can make it easier to extract and understand information from those hefty PDFs we encounter. It's been quite a journey, but we have come up with a pretty cool method. Here is a quick overview:

We kick things off by making sure we accurately pull out the text from those PDF files. Then, we get into the nitty-gritty of natural language processing. We're talking about using fancy stuff like sentiment analysis to really get the feel of the text. And that's where the T5 model comes in handy, helping us condense all that info into neat, digestible summaries. But we didn't stop there – we also added Google Text-to-Speech (gTTS) to the mix. This means we can turn those written summaries into spoken ones, making information more accessible to everyone.

Our multimodal strategy for information dissemination provides summaries in both written and audio formats, ensuring inclusivity. The document summarization system has practical applications in education, content curation, and information retrieval. It can help educators create succinct educational materials, support content curators in summarizing articles efficiently, and assist users in quickly extracting relevant information from large datasets. The integration of advanced NLP techniques highlights their adaptability and efficiency in handling textual data, ultimately enhancing user experience across different fields.

Significance:

This work addresses the critical need for efficient information processing and accessibility. By merging cutting-edge NLP with text-to-speech technology, we are paving the way for more inclusive and effective methods of consuming extensive textual content. This advancement is particularly beneficial for professionals, researchers, and students, enabling them to grasp essential information swiftly and comprehensively.

For a detailed exploration of our research, you can access the full paper in the IEEE Xplore Digital Library - click here

I am incredibly proud of this achievement and look forward to further innovations in this exciting field!

#Research #AI #MachineLearning #NLP #TextSummarization #gTTS #T5Model #IEEE #Innovation #Tech #Education #Data

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Written by

Ankit Raj
Ankit Raj

Data Engineer