Automated detection of profanities for film censorship using deep learning

Given the excessive profanities identified in audio and video files and the detrimental consequences to an individual‟s character and behaviour, content censorship is crucial to filter profanities from young viewers with higher exposure to uncensored content. Although manual detection and censorship...

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Bibliographic Details
Main Author: Ba Wazir, Abdulaziz Saleh
Format: Thesis
Published: 2022
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