Voice recognition technology has transformed the way people interact with machines and has found applications in various industries.
The evolution of voice recognition technology started in the 1950s with early systems like "Audrey" and "Shoebox". Technological advancements such as the Hidden Markov Model (HMM) and AI-driven deep learning have improved accuracy and recognition rates.
Modern voice recognition relies on natural language processing (NLP), cloud computing, machine learning, and multilingual support.
Voice recognition has various applications in virtual assistants, healthcare, customer service, smart homes, automotive industry, education, and accessibility.