Uploaded May 2021 | Updated September 2026, 2 weeks ago

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I present PaperWhisperer. This is a Python application that keeps you up-to-date with the latest research published on arXiv.org

How? It retrieves the latest articles from arXiv on a topic, by performing a keyword-based search. Then, it creates vocal summaries of the articles using Google Cloud Text-To-Speech and stores them to disk.

PaperWhisperer on GitHub:
github.com/musikalkemist/paperwhisperer

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Content:
0:00 Intro
1:05 Survey about keeping up-to-date with research
2:18 Arxiv and Google Cloud Text-to-Speech
3:10 PaperWhisperer's architecture
3:46 The codebase
4:04 Retrieval component
5:04 Text-to-speech component
5:55 Setting up a Google Cloud app
6:55 Create summaries entry point
8:20 Running the application
9:06 Sample results
9:45 Possible improvements
11:26 Outro