Build a Speech Recognition and Summarization System

In this project, you'll assume the role of a Python developer tasked with building a speech recognition and summarization system. Using the vosk library for speech-to-text and Hugging Face models for summarization, you'll develop a system to automatically transcribe audio files like lecture notes, podcasts, or videos and generate concise summaries. Throughout the project, you'll apply Python programming skills and leverage pre-trained models to convert speech to text, add punctuation, handle long audio files, and extract key points into a summary. This real-world project will enhance your portfolio, demonstrating your ability to combine speech recognition and natural language processing techniques for practical applications. Objective: Build a speech recognition and summarization system to automatically transcribe and summarize audio files, showcasing your Python skills in a real-world context.