The primary technology used in voice recognition systems is natural language processing (NLP), which allows computers to understand, interpret, and respond to human speech. Voice recognition involves converting spoken language into text, enabling devices to execute commands or answer questions. Machine learning algorithms also play a significant role in improving the accuracy of voice recognition systems by continually learning from data inputs and user interactions. This technology powers applications across various platforms, including virtual assistants like Siri, Alexa, and Google Assistant.