The technology widely used for speech recognition applications is natural language processing (NLP). This AI subfield enables machines to understand and respond to human language. Speech recognition systems convert spoken language into text, allowing for hands-free command execution, transcription services, and virtual assistants like Siri and Google Assistant. Advances in deep learning have significantly improved the accuracy and capabilities of these technologies by training models on vast datasets of spoken language, thereby enhancing user experience through more intuitive interactions.