Voice recognition technology works by utilizing algorithms that convert audio signals into text or commands through processes involving speech recognition and natural language processing (NLP). The system captures spoken words via a microphone and analyzes sound patterns, comparing them against known language models. Through machine learning, voice recognition systems can improve their accuracy by learning from user interactions and adapting to different accents or speech styles. Applications range from virtual assistants to hands-free device control, enhancing user experience.