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The Evolution and Impact of Voice Recognition Technology

  • 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.

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