Voice recognition systems are developed using technologies such as natural language processing (NLP) and machine learning. These systems convert spoken language into text through a combination of algorithms and statistical models that analyze voice patterns. The development process often involves training models on large datasets of spoken language to improve accuracy. Applications include virtual assistants, transcription services, and accessibility tools, making communication more efficient and accessible.