Voice-recognition systems like Google Assistant are powered by natural language processing (NLP) technology, which allows machines to understand and respond to human language. This involves various algorithms and models that analyze speech patterns, context, and intent to generate appropriate responses. Machine learning plays a significant role in improving these systems over time, enabling them to recognize more complex commands and adapt to user preferences.