YouTube Video Transcript Summarizer - Hugging Face Speech-to-Text ASR - Video Summarizer Project
1littlecoder via YouTube
AI Adoption - Drive Business Value and Organizational Impact
AI Engineer - Learn how to integrate AI into software applications
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn how to build a YouTube video transcript summarizer using Python and Hugging Face's speech-to-text ASR technology. This tutorial covers downloading YouTube video audio with PyTubes, converting it to WAV format, implementing speech-to-text transcription, and summarizing the resulting text. Explore techniques like audio chunking to avoid memory errors, and see a live demonstration of the summarizer in action. Gain insights into potential improvements for ASR and summarization, and access the provided Colab code to follow along with the project.
Syllabus
YouTube Video Summarizer Intro
- Download YouTube Video's Audio
- Youtube Transcript ASR Speech-to-Text with Hugging Sound
- Audio Chunking to avoid Out-of-Memory Error
- Youtube Audio Transcription
- Text Summarization with Hugging Face Pipeline
- Live Demo of YouTube Transcript Summarizer
- ASR/Summarizer Improvement Ideas
Taught by
1littlecoder