Skip to content

om-surushe/Youtube-Video-Summary

Repository files navigation

important commands

To get openai whisper

pip install git+https://github.com/openai/whisper.git SpeechRecognition

Future Scope

Error handling: Add error handling to handle exceptions that may occur during the summarization process.

Multi-language support: Use a language detection library to identify the language of the video and use a speech-to-text library that supports that language.

Summarization customization: Provide options for the user to customize the summarization process, such as the length of the summary or specific sections of the video to summarize.

Integration with other tools: Integrate your application with other tools or services, such as text-to-speech or cloud-based video hosting platforms.

User interface: Create a graphical user interface (GUI) to make it easier for users to interact with your application.

Reseach Papers

Video Summarization - A Study on Video Summarization Techniques - Digital Video Summarization Techniques: A Survey - Video Summarization Using Deep Neural Networks: A Survey - Video Summarization Techniques: A Review - Investigating the Effectiveness of YouTube as a Learning Tool among EFL Students at Baghdad University

Speech to text - Speech-to-Text: A Review of Recent Advances - Speech to text conversion and summarization for effective understanding and documentation

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published