GiTi-4

Our team is working on this independent research on detecting bad langagues to convert into good ones and better transcribe technical jargons from YouTube video clips. For our 1st final, we convert the bad languages into 'Beep' Sound using Whisper(Sound-To-Text) and YouTube APIs.
https://docs.google.com/presentation/d/17vkdM2dwHE654JkUdyu8IwPUKgWPUKB6DV7-0k1Mn0A/edit#slide=id.g26248eb15f7_2_2

This is our first final ppt slides.

(언어순환을 위한 욕설탐지)

(영어가 섞인 전문용어를 정확한 영단어로 자막 출력)

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
Curse_detection		Curse_detection
TMN_Code		TMN_Code
README.md		README.md
[data]cursedetect_[model]gru.ipynb		[data]cursedetect_[model]gru.ipynb
[data]cursedetect_[model]sentencepiece_[xai]lime.ipynb		[data]cursedetect_[model]sentencepiece_[xai]lime.ipynb
[data]cursedetect_[model]sentencepiece_[xai]lime.pdf		[data]cursedetect_[model]sentencepiece_[xai]lime.pdf
[data]smilegate_binary_[model]kcBERT_[xai]Lime.ipynb		[data]smilegate_binary_[model]kcBERT_[xai]Lime.ipynb
subtitles.txt		subtitles.txt
unsmile_train_v1.0.tsv		unsmile_train_v1.0.tsv
unsmile_valid_v1.0.tsv		unsmile_valid_v1.0.tsv
youtube_script_crawling_planningTodo.ipynb		youtube_script_crawling_planningTodo.ipynb

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