This project introduces a solution at the intersection of Machine Learning (ML) and Natural Language Processing (NLP) to improve the podcast experience.The system seamlessly converts given youtube podcast video URLs into textual transcripts, then further condenses the generated transcripts into concise summaries, and again converts the generated summary back into audio format.The primary objective is to enhance podcast accessibility, particularly for the hearing-impaired, by providing audible summaries.This approach not only caters to individuals with hearing impairments but also provides audible summaries, providing a more inclusive podcast experience.Moreover, this accommodates diverse user preference, offering a versatile approach to consuming podcast content.
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Patil et al. (2024) studied this question.