YouTube Keyword Search Engine Using Speech Recognition

Authors

  • Aymen Shakat School of Computing University Utara Malaysia
  • Khaldun Ibraheem Arif College of Education, University of Thi qar
  • Sami Hasan College of Information Engineering, Al-Nahrain University Baghdad, Iraq
  • Yaser Dawood Nabu Research Academy Selangor, Malaysia
  • Mohammed A. Mohammed Al-Rafidain University College

DOI:

https://doi.org/10.24996/ijs.2021.SI.1.23

Keywords:

Speech Recognition, speech transcript, text search techniques, Video

Abstract

Visual media is a better way to deliver the information than the old way of "reading". For that reason with the wide propagation of multimedia websites, there are large video library’s archives, which came to be a main resource for humans. This research puts its eyes on the existing development in applying classical phrase search methods to a linked vocal transcript and after that it retrieves the video, this an easier way to search any visual media. This system has been implemented using JSP and Java language for searching the speech in the videos

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Published

2021-01-13

How to Cite

YouTube Keyword Search Engine Using Speech Recognition. (2021). Iraqi Journal of Science, 167-173. https://doi.org/10.24996/ijs.2021.SI.1.23
Crossref
0
Scopus
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Ali G.Q. (2024-12-15)
CROWD SPEAKER IDENTIFICATION METHODOLOGIES, DATASETS AND FEATURES: REVIEW. Journal of Applied Engineering and Technological Science, 6(1), 355-364.
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Ali G.Q. (2024-01-01)
Speaker Identification in Crowd Speech Audio using Convolutional Neural Networks. Fusion: Practice and Applications, 16(2), 118-125.

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