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Subtitle Quality Enhancement Using Machine Learning
Description: Develop a machine learning model that can automatically enhance the quality of subtitle files by correcting errors, improving timing, and optimizing readability. Tech Stack: Python, TensorFlow/PyTorch, OpenCV, Natural Language Processing (NLP).
Key Features:
Correct spelling and grammatical errors in subtitles.
Adjust subtitle timing to better match speech.
Suggest or automatically implement style improvements for readability.
About me:-
I am Priyanshu Tiwari from India, and I have good expertise in Machine Learning and Deep Learning. I have worked on four research projects: two in the dental field and two involving professors' PhD projects.
The text was updated successfully, but these errors were encountered:
Subtitle Quality Enhancement Using Machine Learning
Description: Develop a machine learning model that can automatically enhance the quality of subtitle files by correcting errors, improving timing, and optimizing readability.
Tech Stack: Python, TensorFlow/PyTorch, OpenCV, Natural Language Processing (NLP).
Key Features:
Correct spelling and grammatical errors in subtitles.
Adjust subtitle timing to better match speech.
Suggest or automatically implement style improvements for readability.
About me:-
I am Priyanshu Tiwari from India, and I have good expertise in Machine Learning and Deep Learning. I have worked on four research projects: two in the dental field and two involving professors' PhD projects.
The text was updated successfully, but these errors were encountered: