Voice Recognition Systems in the Cloud Networks: Has It Reached Its Full Potential?

Abstract

Voice recognition software enables computer users to use keyboards instead of only entering text using their voices. The medical and legal communities have both reported some success with speech recognition technology, even though the library literature is relatively mute on voice recognition technology. Voice-recognition technology can take over typing for someone who cannot do so due to a physical disability. Voice recognition may still be in its infancy, but it is advancing quickly and becoming more accurate, and it is well worth the investment of money, time, and effort required to learn it. Speech recognition artificial intelligence apps have seen a significant increase in numbers in recent years. Businesses increasingly rely on digital assistance and automated support to rationalize their offerings. Voice assistants, intelligent home appliances, search portals, and similar technologies are only a few instances of the widespread use of voice recognition. The research investigates the theory that one of the primary benefits of using a speech recognition system is that it enables the user to continue working on other tasks simultaneously. The user can direct their attention to observation and manual activities while maintaining control of the device using voice input commands. In addition, the study's findings indicate that voice recognition is an additional type of speech recognition in which a source sound is identified and matched to an individual's voice. For instance, Apple's Siri and Google's Alexa use AI-mechanized voice recognition to provide speech or text back support. On the other hand, voice-to-text programs such as Google Dictation translate words that are dictated to them as text.