Voice recognition technology works by using automatic speech recognition (ASR) systems that convert spoken language into text. The process involves capturing audio input, analyzing it, and matching it to known language patterns using machine learning algorithms. This technology has gained prominence in applications like virtual assistants, transcription services, and voice-controlled interfaces. Continuous advancements in natural language processing enhance the accuracy and capability of voice recognition, enabling more seamless interactions between humans and devices.