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Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.12, No. 4)

Publication Date:

Authors : ; ; ;

Page : 101-109

Keywords : Deep learning; python speech recognition; of TF-IDF;

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The majority of public works are carried out online as a result of the coronavirus disease (COVID19) pandemic. Many job interviews, primary health care consultations, and company meetings are conducted entirely online, and universities all over the world have switched to online teaching. Applications for online meetings like Microsoft Team and Google Meet are widely available on the market. We approach a topic with numerous practical applications in this work. A method that takes recorded video as input and produces identical written or audio summaries as output is the subject of this paper. Additionally, the proposed method can be used to create meeting minutes, subtitle or scribe entertainment videos, and create lecture notes from lecture videos. The audio track of a video is converted into text by the proposed system. We also used a text summarization algorithm to create text summaries. Users of the system have the option of using a text summary or making an audio output that matches the text summary. The proposed strategy is carried out in Python and the proposed conspire is assessed utilizing brief recordings got from YouTube. The proposed method is manually validated on a set of uploaded videos because there are neither specific datasets or benchmarks available to evaluate efficacy nor any benchmarks to use in related studies.

Last modified: 2023-05-10 19:57:22