piyush4455/youtube-video-summarization-speech-to-text-using-asr

YouTube Video Summarization

YouTube-Video-Summarization-Speech-to-text-using-ASR

YouTube Video Summarizer is a Python project that aims to provide a convenient way to summarize the content of YouTube videos by converting their audio into text. The project utilizes automatic speech recognition (ASR) techniques, fine-tuned models, and audio processing to generate concise summaries of the video's content.

Features

• Downloads YouTube videos and extracts the audio.
• Converts audio format from .mp4 to .wav for further processing.
• Uses a popular fine-tuned CTC model, "jonatasgrosman/wav2vec2-large-xlsr-53-english," for English speech recognition.
• Audio chunking: Splits the audio into smaller segments of 30 seconds each for efficient processing.
• Summarizes the audio transcript using pipeline techniques for a concise summary.
• Provides the summarized text as the output.

Installation

1. Clone the repository:

git clone https://github.com/Piyush4455/YouTube-Video-Summarization-Speech-to-text-using-ASR.git

2. Change to the project directory:

cd YouTube-Video-Summarization-Speech-to-text-using-ASR

3. Install the required dependencies:

pip install -r requirements.txt

USAGE

1.Run the YouTube_Video_Summarizer_Speech_to_Text_ASR.ipynb notebook.
2.Replace video_link with the URL of the YouTube video you want to summarize.
3.It will download the video, convert the audio to .wav format, perform automatic speech recognition (ASR) using the fine-tuned model, chunk the audio, and generate a summarized transcript.
4.The summarized text will be displayed.