Speech Recognition Analysis

This project explores the application of advanced Data Analysis techniques to analyze and interpret human speech. It focuses on converting spoken language into accurate text, identifying patterns in pronunciation, tone, and linguistic features, and evaluating system performance across diverse datasets. The goal is to enhance recognition accuracy, improve natural language understanding, and provide insights that support real-world applications such as voice assistants, accessibility tools, and automated transcription services.