The exponential growth of online video content has resulted in an overwhelming amount of data that requires efficient organization and accessibility. YouTube, being the largest video-sharing platform, contains an immense collection of video content. So, the main aim is to build a system which is focused on developing a YouTube summarizer that utilizes Hugging Face's Automatic Speech Recognition (ASR) technology and incorporates native language support. The YouTube summarizer system, with its integration of Hugging Face's ASR and native language support, aims to enhance accessibility and user experience by providing automated, accurate, and concise summaries of YouTube videos. The system serves as a valuable resource for individuals seeking efficient content exploration and information retrieval, irrespective of language barriers or audio content complexity.


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    Titel :

    Efficient Content Exploration on YouTube: Automatic Speech Recognition-Based Video Summarization


    Beteiligte:


    Erscheinungsdatum :

    2023-11-22


    Format / Umfang :

    711195 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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