Machine-Learning-Based Profanity Detection and Removal in Cartoons Videos

被引：0

作者：

Visutsak, Porawat ^{[1
]}

Wijitemee, Apiwut ^{[1
]}

Mahaphon, Akaphon ^{[1
]}

Chaowalit, Orawan ^{[2
]}

机构：

[1] KMUTNB, Fac Sci Appl, Dept Comp & Informat Sci, Bangkok 10800, Thailand

[2] Silpakorn Univ, Dept Comp, Fac Sci, Muang Nakhon Pathom 73000, Nakhon Pathom, Thailand

来源：

2023 5TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS, ICCR | 2023年

关键词：

Swear word; Offensive language; Machine learning; Google API; Web application;

D O I：

10.1109/ICCR60000.2023.10444852

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Swear words and offensive languages in cartoons are prohibited and should be avoided by our children. This paper aims to detect swear words and remove them from cartoons videos for the kids. The system was implemented via a web-based application. The user is allowed to upload cartoons videos to the cloud and footage of video is converted to text using Google Speech-to-Text. We used the linear SVM to detect all swear words which appeared in a text file. The system is capable of muting these swear words to the audio file. After the removal of swear words, the result of cartoons videos can be downloaded and playback offline. The precision, recall, F1-score, and accuracy of our system are 0.957, 0.958, 0.931, and 0.958 respectively.

引用

页码：162 / 167

页数：6

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