Voice recognition uses data science to identify speech patterns based on user-input data. It can make interactions with technology easier and can be used in a variety of ways. Voice recognition can be employed for both personal and work-related use. Individuals often interact with AI assistants to use search engines or to operate their devices hands-free. Many industries can use voice recognition to record and log customer/client data. For example, rather than taking notes, doctors can transcribe patient visits via voice recognition. This ensures that they maintain a personal connection with their patients throughout the visit.
Many common issues associated with voice recognition pertain to privacy. Sceptics of AI assistants fear that the software can collect data on anything they say. While this is true in some cases, most assistants do not collect data unless given a prompt like “Hey Siri” or “Ok Google.” Other problems that people face are its limitations in pattern recognition. Most voice recognition software identify common patterns of speech but have difficulty identifying abnormal speech patterns, prohibiting those with disabilities from using it.