Transforming News Consumption: Summarizing Articles into MP3 Audio for On-the-Go Learning
摘要
In day-to-day life, the news newspaper is a morning coffee in many people’s daily life. People are very interested in knowing news around the world but gradually newspaper transformed into news website articles on internet but people are not motivated to spend enough quality time to cover the many news articles as newspapers. Here the part we are gearing up is in the conversation of news website articles into the Summarized MP3 Audio format so that the reason the people would be getting enough time to listen the educational website articles in the Summarized MP3 Audio format even while the people were traveling, walking, running through the any type of output MP3 Audio device. To make the Conversion tasks happen we are using the Hugging Face Transformers for the text summarization task and for the conversion of summarized text format into the audio format task using the Fairseq (TTS) model.